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Research Topics & Ideas: Cybersecurity

50 Topic Ideas To Kickstart Your Research

Research topics and ideas about cybersecurity

If you’re just starting out exploring cybersecurity-related topics for your dissertation, thesis or research project, you’ve come to the right place. In this post, we’ll help kickstart your research by providing a hearty list of cybersecurity-related research topics and ideas , including examples from recent studies.

PS – This is just the start…

We know it’s exciting to run through a list of research topics, but please keep in mind that this list is just a starting point . These topic ideas provided here are intentionally broad and generic , so keep in mind that you will need to develop them further. Nevertheless, they should inspire some ideas for your project.

To develop a suitable research topic, you’ll need to identify a clear and convincing research gap , and a viable plan to fill that gap. If this sounds foreign to you, check out our free research topic webinar that explores how to find and refine a high-quality research topic, from scratch. Alternatively, consider our 1-on-1 coaching service .

Cybersecurity-Related Research Topics

Developing machine learning algorithms for early detection of cybersecurity threats.
The use of artificial intelligence in optimizing network traffic for telecommunication companies.
Investigating the impact of quantum computing on existing encryption methods.
The application of blockchain technology in securing Internet of Things (IoT) devices.
Developing efficient data mining techniques for large-scale social media analytics.
The role of virtual reality in enhancing online education platforms.
Investigating the effectiveness of various algorithms in reducing energy consumption in data centers.
The impact of edge computing on the performance of mobile applications in remote areas.
The application of computer vision techniques in automated medical diagnostics.
Developing natural language processing tools for sentiment analysis in customer service.
The use of augmented reality for training in high-risk industries like oil and gas.
Investigating the challenges of integrating AI into legacy enterprise systems.
The role of IT in managing supply chain disruptions during global crises.
Developing adaptive cybersecurity strategies for small and medium-sized enterprises.
The impact of 5G technology on the development of smart city solutions.
The application of machine learning in personalized e-commerce recommendations.
Investigating the use of cloud computing in improving government service delivery.
The role of IT in enhancing sustainability in the manufacturing sector.
Developing advanced algorithms for autonomous vehicle navigation.
The application of biometrics in enhancing banking security systems.
Investigating the ethical implications of facial recognition technology.
The role of data analytics in optimizing healthcare delivery systems.
Developing IoT solutions for efficient energy management in smart homes.
The impact of mobile computing on the evolution of e-health services.
The application of IT in disaster response and management.

Cybersecurity Research Ideas (Continued)

Assessing the security implications of quantum computing on modern encryption methods.
The role of artificial intelligence in detecting and preventing phishing attacks.
Blockchain technology in secure voting systems: opportunities and challenges.
Cybersecurity strategies for protecting smart grids from targeted attacks.
Developing a cyber incident response framework for small to medium-sized enterprises.
The effectiveness of behavioural biometrics in preventing identity theft.
Securing Internet of Things (IoT) devices in healthcare: risks and solutions.
Analysis of cyber warfare tactics and their implications on national security.
Exploring the ethical boundaries of offensive cybersecurity measures.
Machine learning algorithms for predicting and mitigating DDoS attacks.
Study of cryptocurrency-related cybercrimes: patterns and prevention strategies.
Evaluating the impact of GDPR on data breach response strategies in the EU.
Developing enhanced security protocols for mobile banking applications.
An examination of cyber espionage tactics and countermeasures.
The role of human error in cybersecurity breaches: a behavioural analysis.
Investigating the use of deep fakes in cyber fraud: detection and prevention.
Cloud computing security: managing risks in multi-tenant environments.
Next-generation firewalls: evaluating performance and security features.
The impact of 5G technology on cybersecurity strategies and policies.
Secure coding practices: reducing vulnerabilities in software development.
Assessing the role of cyber insurance in mitigating financial losses from cyber attacks.
Implementing zero trust architecture in corporate networks: challenges and benefits.
Ransomware attacks on critical infrastructure: case studies and defence strategies.
Using big data analytics for proactive cyber threat intelligence.
Evaluating the effectiveness of cybersecurity awareness training in organisations.

Recent Cybersecurity-Related Studies

While the ideas we’ve presented above are a decent starting point for finding a research topic, they are fairly generic and non-specific. So, it helps to look at actual studies in the cybersecurity space to see how this all comes together in practice.

Below, we’ve included a selection of recent studies to help refine your thinking. These are actual studies, so they can provide some useful insight as to what a research topic looks like in practice.

Cyber Security Vulnerability Detection Using Natural Language Processing (Singh et al., 2022)
Security for Cloud-Native Systems with an AI-Ops Engine (Ck et al., 2022)
Overview of Cyber Security (Yadav, 2022)
Exploring the Top Five Evolving Threats in Cybersecurity: An In-Depth Overview (Mijwil et al., 2023)
Cyber Security: Strategy to Security Challenges A Review (Nistane & Sharma, 2022)
A Review Paper on Cyber Security (K & Venkatesh, 2022)
The Significance of Machine Learning and Deep Learning Techniques in Cybersecurity: A Comprehensive Review (Mijwil, 2023)
Towards Artificial Intelligence-Based Cybersecurity: The Practices and ChatGPT Generated Ways to Combat Cybercrime (Mijwil et al., 2023)
ESTABLISHING CYBERSECURITY AWARENESS OF TECHNICAL SECURITY MEASURES THROUGH A SERIOUS GAME (Harding et al., 2022)
Efficiency Evaluation of Cyber Security Based on EBM-DEA Model (Nguyen et al., 2022)
An Overview of the Present and Future of User Authentication (Al Kabir & Elmedany, 2022)
Cybersecurity Enterprises Policies: A Comparative Study (Mishra et al., 2022)
The Rise of Ransomware: A Review of Attacks, Detection Techniques, and Future Challenges (Kamil et al., 2022)
On the scale of Cyberspace and Cybersecurity (Pathan, 2022)
Analysis of techniques and attacking pattern in cyber security approach (Sharma et al., 2022)
Impact of Artificial Intelligence on Information Security in Business (Alawadhi et al., 2022)
Deployment of Artificial Intelligence with Bootstrapped Meta-Learning in Cyber Security (Sasikala & Sharma, 2022)
Optimization of Secure Coding Practices in SDLC as Part of Cybersecurity Framework (Jakimoski et al., 2022)
CySSS ’22: 1st International Workshop on Cybersecurity and Social Sciences (Chan-Tin & Kennison, 2022)

As you can see, these research topics are a lot more focused than the generic topic ideas we presented earlier. So, for you to develop a high-quality research topic, you’ll need to get specific and laser-focused on a specific context with specific variables of interest. In the video below, we explore some other important things you’ll need to consider when crafting your research topic.

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Major Types of Cybersecurity

Network / Host-assisted Intrusion Detection
Event Management
Anti-Malware
Access Control
User Accessibility
Print Verification
Encryption or Information Driven
Information Wiping Cleaning
Database Integrity and Gateway
Scanning of Information Storage (Database)
Data Loss Prevention (DLP)

In order to interpret the cybersecurity features and configuration, here we have given you the instances of cybersecurity.

What are the 3 security domains?

Based on the functionality of the cybersecurity model, the system design is classified into 3 phases in sequential order such as hardware, network, and software / API. Here we can see the functions of the three domains.

It is the network of hardware / devices that are used to execute the software / application based on the custom needs
In this, few devices are furnished with capability to sense the environment and others are used to note down the up-to-date values
Then, pass the collected data to the server via next-level of model i.e., network phase
It comprises the more communication technologies for accessing different networks
Further, it launches the communication among other two phases that is hardware and software / application phases
For instances: WiMAX, Satellite, WLAN, UTRAN, xDSL, GERAN and many more
It is comprised with servers which stores the data obtained from hardware phase and network phases
Then, it provides the data to the end-users once the request is received from different applications

Next, we can see the development of the cybersecurity models, which begins from authentication to code analysis . In this, we have mentioned the functionalities of each stage. Overall, you can get an idea of how cybersecurity is established, how the risk is analyzed, and how the programmable code is verified to improve security.

Cybersecurity Model Lifecycle

Execute the penetration and internal penetration test
Perform the cloud and network testing
Carry out other security processes
Essential needs of security
Examine the privacy through security test
Analyze the risk and threat
Perform the security processes
Inspect the static code

Furthermore, we are also like to give information on the key entities required to build the cybersecurity model . The core elements of cybersecurity models are framework, operations, rules/procedure, and assessment.

Nowadays, cyber-attacks have become the biggest threat in digital data communication. So, all the individuals and organizations are moving in the direction of cybersecurity to protect their sensitive information. The security analyst monitors the system to safeguard the central /distributed server against cyber-attacks in an organization. These attacks have the capability to penetrate the network either through new technologies or vulnerable systems. Then, it performs malicious activities such as eavesdrop, data theft, system shutdown, compromise network, data manipulation, deletion , etc. Here, we have specified few important aspects of cybersecurity.

Highlights of Cybersecurity

In what way the personal information is accessed by the private organization? Is the government must access data in static or dynamic movement?
By what means we know the cyber attacker? And what we do if can’t attribute attack?
What are the input and output that participate in the physical and embedded system?
How the trust will be built among network/system and how we measure the variation?
In what manner, we evaluate in real-time? For whom, we are watching and What we are seeking for?

So far, we have discussed the cybersecurity types, instances, phases, lifecycle, components, and importance in real-world applications . Now, we can see the list of research holes that are not addressed in an effective manner. Our research team has found all these areas as new dimensions of cybersecurity in current and future research . Here, we have given you the list of research holes followed by cybersecurity threats and solutions.

Research Gaps in Cybersecurity

Deficient Privacy Mechanisms
Tracing of Remote Location
Security Defects on Software / Hardware
Illegitimate User Resource Access
Traffic Analysis and Classification
Prevention against Malicious Activities
Analyzing the Signal Integrity
Achieving Integrity of Communication Metadata

Cybersecurity Threats and Solutions

Filter / Drop Packets Techniques
Tamper Proofing
Routing Technique by Secure Way
Threatening the integrity of network information and adapt to environs with censored modification
Possibly ignore the traffic congestion
Create malicious activity which add to the blacklist
Keep the trace about quantity of clones

Our resource teams are experienced in both standalone and hybrid security research areas . On the one hand, standalone security areas are identified as network/host security, web-application security, forensics, cryptography , software/hardware security , etc. On the other hand, hybrid areas are referred to as system security using cryptography techniques and system security using machine learning in digital forensics

Generate security policies and arrange training program for employee in an organization. And, make them aware about the security threats.
Monitor the entire network against insiders and outsiders. Then, extract the malicious access and data for controlling the system
Build the security policy and baseline for all hardware. Next, train and safe-guard the data in rest / motion.
Build the anti-malware policies to the organization data / network
Implement the generated security policies in real-time information and communication system. Next, build the security baseline for every deployed device
To monitor / analyze the ICS system and their logs, generate efficient policies and procedures
Generate policies for managing removable media such as restricting, scanning, detecting malware, etc.
Create incident response and recovery plan and train the employee. Then, notify the law enforcement about the criminal incidents immediately
Monitor and control the user accounts and their rights to access resources

Emerging Technologies of Cybersecurity

In recent days, cybersecurity is found many evolving technologies to enhance their application security level. In specific, virtual/augmented reality has gained trust in cybersecurity. Our technical professionals have long-standing practice in handling different sorts of interesting cybersecurity research and developments. Currently, we are working on many cybersecurity thesis topics with respect to information security ( forensics, bio-authentication, cyber criminalities and etc.).

In addition, other current research fields are also holding their hands with cybersecurity & cyber warfare research topics. And, some of them are given as follows,

Internet of Things

Software Defined Networks

Mobile Edge Computing
5G Beyond and 6G Cellular Networks
Blockchain based Security System

Here we have listed few attention-gaining research areas in cybersecurity that encompasses best Cybersecurity Thesis Topics f or your references.

How do we frame a format for cybersecurity thesis topics writing?

So far, we have debated on cybersecurity enabling technologies, research areas, and cybersecurity thesis topics . Now, we can see about our thesis writing service. The well-organized thesis mirrors your whole research work, which is done to this point. By the by, it has the chronological order to write the research question and solving answers. Refer to the following for more clarity,

Handpick the well-intentioned research question which is not solved yet
Perform the survey to on other related research work and find the both positive and negative aspects of those researches
Model and develop your research work by means of quantitative, qualitative and combined analysis techniques
Present your experimental results and findings with suitable evidences to meet your research aim

Further, if you are looking for the best research guidance on up-to-date Cybersecurity Thesis Topics , then you can find the best solution without any doubt. Surely, we will be with you throughout your research path, from area identification to thesis submission.

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A Survey on Ransomware Malware and Ransomware Detection Techniques

Abstract: is a kind of malignant programming (malware) that takes steps to distribute or hinders admittance to information or a PC framework, for the most part by scrambling it, until the casualty pays a payoff expense to the assailant. As a rule, the payoff request accompanies a cutoff time. Assuming that the casualty doesn't pay on schedule, the information is gone perpetually or the payoff increments. Presently days and assailants executed new strategies for effective working of assault. In this paper, we center around ransomware network assaults and study of discovery procedures for deliver product assault. There are different recognition methods or approaches are accessible for identification of payment product assault. Keywords: Network Security, Malware, Ransomware, Ransomware Detection Techniques

Analysis and Evaluation of Wireless Network Security with the Penetration Testing Execution Standard (PTES)

The use of computer networks in an agency aims to facilitate communication and data transfer between devices. The network that can be applied can be using wireless media or LAN cable. At SMP XYZ, most of the computers still use wireless networks. Based on the findings in the field, it was found that there was no user management problem. Therefore, an analysis and audit of the network security system is needed to ensure that the network security system at SMP XYZ is safe and running well. In conducting this analysis, a tool is needed which will be used as a benchmark to determine the security of the wireless network. The tools used are Penetration Testing Execution Standard (PTES) which is one of the tools to become a standard in analyzing or auditing network security systems in a company in this case, namely analyzing and auditing wireless network security systems. After conducting an analysis based on these tools, there are still many security holes in the XYZ wireless SMP that allow outsiders to illegally access and obtain vulnerabilities in terms of WPA2 cracking, DoS, wireless router password cracking, and access point isolation so that it can be said that network security at SMP XYZ is still not safe

A Sensing Method of Network Security Situation Based on Markov Game Model

The sensing of network security situation (NSS) has become a hot issue. This paper first describes the basic principle of Markov model and then the necessary and sufficient conditions for the application of Markov game model. And finally, taking fuzzy comprehensive evaluation model as the theoretical basis, this paper analyzes the application fields of the sensing method of NSS with Markov game model from the aspects of network randomness, non-cooperative and dynamic evolution. Evaluation results show that the sensing method of NSS with Markov game model is best for financial field, followed by educational field. In addition, the model can also be used in the applicability evaluation of the sensing methods of different industries’ network security situation. Certainly, in different categories, and under the premise of different sensing methods of network security situation, the proportions of various influencing factors are different, and once the proportion is unreasonable, it will cause false calculation process and thus affect the results.

The Compound Prediction Analysis of Information Network Security Situation based on Support Vector Combined with BP Neural Network Learning Algorithm

In order to solve the problem of low security of data in network transmission and inaccurate prediction of future security situation, an improved neural network learning algorithm is proposed in this paper. The algorithm makes up for the shortcomings of the standard neural network learning algorithm, eliminates the redundant data by vector support, and realizes the effective clustering of information data. In addition, the improved neural network learning algorithm uses the order of data to optimize the "end" data in the standard neural network learning algorithm, so as to improve the accuracy and computational efficiency of network security situation prediction.MATLAB simulation results show that the data processing capacity of support vector combined BP neural network is consistent with the actual security situation data requirements, the consistency can reach 98%. the consistency of the security situation results can reach 99%, the composite prediction time of the whole security situation is less than 25s, the line segment slope change can reach 2.3% ,and the slope change range can reach 1.2%,, which is better than BP neural network algorithm.

Network intrusion detection using oversampling technique and machine learning algorithms

The expeditious growth of the World Wide Web and the rampant flow of network traffic have resulted in a continuous increase of network security threats. Cyber attackers seek to exploit vulnerabilities in network architecture to steal valuable information or disrupt computer resources. Network Intrusion Detection System (NIDS) is used to effectively detect various attacks, thus providing timely protection to network resources from these attacks. To implement NIDS, a stream of supervised and unsupervised machine learning approaches is applied to detect irregularities in network traffic and to address network security issues. Such NIDSs are trained using various datasets that include attack traces. However, due to the advancement in modern-day attacks, these systems are unable to detect the emerging threats. Therefore, NIDS needs to be trained and developed with a modern comprehensive dataset which contains contemporary common and attack activities. This paper presents a framework in which different machine learning classification schemes are employed to detect various types of network attack categories. Five machine learning algorithms: Random Forest, Decision Tree, Logistic Regression, K-Nearest Neighbors and Artificial Neural Networks, are used for attack detection. This study uses a dataset published by the University of New South Wales (UNSW-NB15), a relatively new dataset that contains a large amount of network traffic data with nine categories of network attacks. The results show that the classification models achieved the highest accuracy of 89.29% by applying the Random Forest algorithm. Further improvement in the accuracy of classification models is observed when Synthetic Minority Oversampling Technique (SMOTE) is applied to address the class imbalance problem. After applying the SMOTE, the Random Forest classifier showed an accuracy of 95.1% with 24 selected features from the Principal Component Analysis method.

Cyber Attacks Visualization and Prediction in Complex Multi-Stage Network

In network security, various protocols exist, but these cannot be said to be secure. Moreover, is not easy to train the end-users, and this process is time-consuming as well. It can be said this way, that it takes much time for an individual to become a good cybersecurity professional. Many hackers and illegal agents try to take advantage of the vulnerabilities through various incremental penetrations that can compromise the critical systems. The conventional tools available for this purpose are not enough to handle things as desired. Risks are always present, and with dynamically evolving networks, they are very likely to lead to serious incidents. This research work has proposed a model to visualize and predict cyber-attacks in complex, multilayered networks. The calculation will correspond to the cyber software vulnerabilities in the networks within the specific domain. All the available network security conditions and the possible places where an attacker can exploit the system are summarized.

Network Security Policy Automation

Network security policy automation enables enterprise security teams to keep pace with increasingly dynamic changes in on-premises and public/hybrid cloud environments. This chapter discusses the most common use cases for policy automation in the enterprise, and new automation methodologies to address them by taking the reader step-by-step through sample use cases. It also looks into how emerging automation solutions are using big data, artificial intelligence, and machine learning technologies to further accelerate network security policy automation and improve application and network security in the process.

Rule-Based Anomaly Detection Model with Stateful Correlation Enhancing Mobile Network Security

Research on network security technology of industrial control system.

The relationship between industrial control system and Internet is becoming closer and closer, and its network security has attracted much attention. Penetration testing is an active network intrusion detection technology, which plays an indispensable role in protecting the security of the system. This paper mainly introduces the principle of penetration testing, summarizes the current cutting-edge penetration testing technology, and looks forward to its development.

Detection and Prevention of Malicious Activities in Vulnerable Network Security Using Deep Learning

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Network Security

The network security is the issue which rose due to self-configuring and decentralized nature of the network. The ad-hoc networks are of three type’s mobile ad-hoc networks, wireless sensor networks, and vehicular ad-hoc networks. The malicious nodes may join the network due to which various type of active and passive attacks are possible in the network. The passive type of attack is the type of attack in which malicious nodes do not affect the network performance. The active type of attacks is the attacks in which malicious nodes reduce networks performance in terms of various parameters. There are various topics in network security for thesis and research.

The black hole, wormhole, sinkhole, Sybil etc are the various type of active attacks which reduce network. In recent times, various techniques have been proposed which detect malicious nodes from the network. To improve the security of the network , techniques of the data encryption, intrusion detection systems are proposed in recent times. The area of research in the network security is secure channel establishment algorithms which are Diffie-Helman, RSA etc which increase the security of the network.

Network Security in a computer network is a good topic to choose for the M.Tech thesis. You can get thesis help from a good thesis guidance agencies like Techsparks. Network Security is the means by which any unauthorized access to a computer network is prevented by following certain policies and procedures. Network Security tend to provide certain ways by which only authorized user can get access to the data in the network. Users are provided unique ID and password for access to the network. Network Security is employed in large organizations and institutions for securing the network from any third party access.

A firewall is a system that applies certain protocols for managing and regulating traffic on the network. It acts as the barricade between the internet and the verified internal network. A firewall can be a software or a hardware. Firewalls are commonly used to prevent any threat to the data from an outside source. Hardware firewalls are found on routers while software firewalls are installed on the computers. While working on your M.Tech thesis, you will learn more about how the firewall works. There are three types of firewall:

Application Gateways
Packet Filtering
Hybrid Systems

Types of network attack

Following are the types of attack on the network:

Active Attack

In an active attack, a miscreant tries to attack data while it is being sent to some other location. He can make changes to it or can hack confidential information while data is being transferred.

Passive Attack

In a passive attack, the hacker constantly monitors the system to gain valuable information through open ports. The attacker does not attempt to make changes to data.

CIA Triad in Network Security

It is based on the following principles:

Confidentiality

Protecting the important data from unauthorized access.

Keeping the uniqueness of the data.

Availability

Authorized access to the available data.

Auditing in Network Security

Auditing in network security means checking whether the security policies and procedures are followed by the organization. This helps the organization to find any loophole in the security measures of the organization’s network and hence implement network security.

This was just basics of network security. If you are involved in networking, then this could be a good choice for your M.Tech thesis. There are various thesis topics in network security which you can opt for M.Tech, M.Phil and for Ph.D. degree.

Latest Thesis and research topics in Network Security

There are various hot topics in network security. Following is the list of latest research and thesis topics in network security for masters and other postgraduate students:

Access Management

Wireless Security

Endpoint security, hole punching, malware detection, information security, access management:.

It is a method of securing the network by granting access to authorized users the right to access the network. This will prevent any authorized attack on the network thereby securing the network. This process makes use of certain policies which are defined under Information Security Management. This process was added to secure the confidential information that is transferred through the network. This is a very good and simple topic for the thesis in the field of network security. There are various sub-processes under it which you can explore while working on your thesis and research paper.

Wireless Security makes use of the wireless network to prevent any unauthorized access and attack to the computers. WEP(Wired Equivalent Privacy) and WPA(Wi-Fi Protected Access) are the common types of wireless security. WEP is comparatively weaker than WPA as its password can be broken easily using some software tools. There are certain security issues in wireless communication. A malicious individual can attack the network through ad hoc networks, non-traditional networks, network injection, caffe latte attack. There are various security measures that can be applied to SSID hiding, static IP addressing, 802.11 security, encryption etc. There are many topics to explore in this and is a very good choice for the master’s thesis.

Firewall has been discussed above. It regulates the traffic on the network and is a security measure for communication on the network. It is an interesting research paper topic in network security.

Endpoint Security is another approach for network security in which remote networks are secured. In this devices follow certain security standards. It manages the user’s access to the corporate network. The main components of this type of security are VPN(Virtual Private Network), operating system and an antivirus software. This security management process operates on the client-server model. Software as a Service is another model used in this case.

Honeypot is another security mechanism for network security. It detects, deflects and counteracts the unauthorized use of information systems. It consists of data which is isolated and monitored but appears as if it is a part of the site. Honeypots are classified into two categories production honeypot and research honeypot. Production honeypots capture only limited information and are easy to use whereas research honeypots collect information about the black hat communities who are trying to attack the network. Based on their design, honeypots can be classified as pure honeypots, low-interaction honeypots, and high-interaction honeypots. Go for this topic for your thesis as it is an innovative topic.

It is a computer networking technique that uses network address translation(NAT) for establishing the direct connection between the two parties. In this one or both the parties may be behind firewalls. For punching a hole, each of the clients connects to a third-party server which is unrestricted for temporarily storing external and internal address and port information. Each client’s information is passed on to the other through a server and using that direct connection is established. As a result, packets are transferred to each side.

A malware is a software code which is designed to intentionally cause damage to the computer network. The malware code can be in the form of viruses, worms, Trojan horses, or spyware. The aim of malware detection is to find and remove any type of malware code from the network. Antivirus software, firewalls, and other such strategies help in detecting malware in the network. It is one of the good topics in network security for project and thesis.

Information security refers to a set of strategies applied to prevent any type of threat to digital and non-digital information. It is also an interesting topic in network security. The strategies applied revolves around the CIA objectives which is expanded as confidentiality, integrity, and availability. These objectives ensure that only authorized users can access the information.

These are some of the latest interesting topics in network security for thesis as well as for research. If you face any difficulty in this area you can get thesis guidance and thesis help in network security from networking experts.

Techsparks offer thesis and research help in network security topics. You can call us at +91-9465330425 or email us at [email protected] for thesis and research help in network security. You can also fill the contact form the website. We will get back to you as soon as possible.

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A Formal Approach to Practical Network Security Management (thesis)

When a system administrator configures a network so it is secure, he understands very well the users, data, and most importantly the intent—what he is trying to do. However,he has a limited understanding of the mechanisms by which components interact and the details of each component. He could easily miscongure the network so a hacker could steal confidential data. In addition to this complexity, about one hundred new security vulnerabilities are found each week, which makes it even more difficult to manage the security of a network installation---because of the large number of program vulnerabilities and challenging time constraints. Even professional administrators find this a difficult (impossible) task. How does one enable the system administrator to securely congure the network with a limited understanding of its components, program bugs and their interactions? The solution is a security analysis framework that modularizes information flow between the system administrator, security expert and the bug expert. The administrator specifies what he is trying to do, the security expert specifies component behavior, the bug expert specifies known bugs. We developed a rule based framework—---Multihost, Multistage, Vulnerability Analysis (MulVAL)---to perform end-to-end, automatic analysis of multi-host, multi-stage attacks on a large network where hosts run on different operating systems. The MulVAL framework has been demonstrated to be modular, flexible, scalable and efficient. We used the framework to find serious configuration vulnerabilities in software from several major vendors for the Windows XP platform.

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Computer Networking Dissertation Topics

Published by Carmen Troy at January 5th, 2023 , Revised On May 16, 2024

A dissertation is an essential aspect of completing your degree program. Whether you are pursuing your master’s or are enrolled in a PhD program, you will not be awarded a degree without successfully submitting a thesis. To ensure that your thesis is submitted successfully without any hindrances, you should first get your topic and dissertation outline approved by your professor. When approving, supervisors focus on a lot of aspects.

However, relevance, recency, and conciseness play a huge role in accepting or rejecting your topic.

As a computer networking student, you have a variety of networking topics to choose from. With the field evolving with each passing day, you must ensure that your thesis covers recent computer networking topics and explores a relevant problem or issue. To help you choose the right topic for your dissertation, here is a list of recent and relevant computer networking dissertation topics.

List Of Trending Ideas For Your Computer Networking Dissertation

Machine learning for proactive network anomaly detection
The role of software-defined-networking (SDN) for network performance and security
Applications and challenges of 6G technologies
How to ensure fairness and efficiency in Multi-Access Edge Computing (MEC)
Denial-of-Service (DoS) Attacks in the Age of Distributed Denial-of-Service (DDoS) Attacks
Applications and rise of Low-Power Wide Area Networks (LPWANs)
Efficient Resource Allocation and Quality-of-Service (QoS) Management
Ethical Implications of Artificial Intelligence (AI) in Network Management
The best ways to use Blockchain for Tamper-Proof Evidence Collection and Storage
Role of Network Operators in Cloud Gaming

Computer Networking Dissertation Topics For Your Research

Topic 1: an evaluation of the network security during machine to machine communication in iot.

Research Aim: The research aims to evaluate the network security issues associated with M2M communication in IoT.

Objectives:

To evaluate the factors affecting the network security of IoT devices.
To determine the methods for increasing data integrity in M2M communication against physical tampering and unauthorised monitoring.
To evaluate the network security issues associated with M2M communication in IoT and offer suitable recommendations for improvement.

Topic 2: An analysis of the cybersecurity challenges in public clouds and appropriate intrusion detection mechanisms.

Research Aim: The aim of the research is to analyse the cybersecurity challenges in public clouds and the appropriate intrusion detection mechanisms.

Objectives:

To analyse the types of cybersecurity threats impacting public clouds.
To determine some of the competent intrusion detection techniques that can be used in cloud computing.
To investigate the cybersecurity challenges in public clouds and offer mitigating with appropriate intrusion detection techniques.

Topic 3: Investigating the impact of SaaS cloud ERP on the scalability and cost-effectiveness of business.

Research Aim: The research aims to investigate the impact of SaaS cloud ERP on the scalability and cost-effectiveness of business.

To analyse the benefits of SaaS ERP over traditional ERP.
To evaluate the characteristics of SaaS architecture in cloud computing and determine its varieties.
To investigate how SaaS cloud ERP impacts business scalability and cost-effectiveness.

Topic 4: An evaluation of the requirements of cloud repatriation and the challenges associated with it.

Research Aim: The research aims to evaluate the requirements of cloud repatriation in organisations and the associated challenges

To analyse the key factors of cloud repatriation.
To determine the challenges associated with cloud repatriation from public clouds.
To evaluate the need for cloud repatriation in organisations and the associated complexities

Topic 5: An examination of the security mechanisms in decentralised networks and the ways of enhancing system robustness

Research Aim: The research aims to investigate the security mechanisms in decentralised networks and the ways of enhancing system robustness.

To analyse the concept of decentralised networks and understand their difference from centralised networks.
To analyse the security mechanisms in decentralised networks to determine how it offers visibility and traceability.
To investigate the security mechanisms in decentralised networks and how system robustness can be increased for better privacy and security.

Latest Computer Networking Dissertation Topics

Exploring the importance of computer networking in today’s era.

Research Aim: Even though computer networking has been practised for a few years now, its importance has increased immensely over the past two years. A few main reasons include the use of technology by almost every business and the aim to offer customers an easy and convenient shopping experience. The main aim of this research will be to explain the concepts of computer networking, its benefits, and its importance in the current era. The research will also discuss how computer networking has helped businesses and individuals perform their work and benefit from it. The research will then specifically state examples where computer networking has brought positive changes and helped people achieve what they want.

Wireless Networks in Business Settings – An Analysis

Research Aim: Wireless networks are crucial in computer networking. They help build networks seamlessly, and once the networks are set up on a wireless network, it becomes extremely easy for the business to perform its daily activities. This research will investigate all about wireless networks in a business setting. It will first introduce the various wireless networks that can be utilised by a business and will then talk about how these networks help companies build their workflow around them. The study will analyse different wireless networks used by businesses and will conclude how beneficial they are and how they are helping the business.

Understanding Virtual Private Networks – A Deep Analysis of Their Challenges

Research Aim: Private virtual networks (VPN) are extremely common today. These are used by businesses and individuals alike. This research aims to understand how these networks operate and how they help businesses build strong and successful systems and address the challenges of VPNs. A lot of businesses do not adopt virtual private networks due to the challenges that they bring. This research will address these challenges in a way that will help businesses implement VPNs successfully.

A Survey of the Application of Wireless Sensor Networks

Research Aim: Wireless sensor networks are self-configured, infrastructure-less wireless networks to pass data. These networks are now extremely popular amongst businesses because they can solve problems in various application domains and possess the capacity to change the way work is done. This research will investigate where wireless sensor networks are implemented, how they are being used, and how they are performing. The research will also investigate how businesses implement these systems and consider factors when utilising these wireless sensor networks.

Computer Network Security Attacks – Systems and Methods to Respond

Research Aim: With the advent of technology today, computer networks are extremely prone to security attacks. A lot of networks have security systems in place. However, people with nefarious intent find one way to intrude and steal data/information. This research will address major security attacks that have impacted businesses and will aim to address this challenge. Various methods and systems will be highlighted to protect the computer networks. In addition to this, the research will also discuss various methods to respond to attacks and to keep the business network protected.

Preventing a Cyberattack – How Can You Build a Powerful Computer Network?

Research Aim: Cyberattacks are extremely common these days. No matter how powerful your network is, you might be a victim of phishing or hacking. The main aim of this research will be to outline how a powerful computer network can be built. Various methods to build a safe computer network that can keep data and information will be outlined, and the study will also highlight ways to prevent a cyberattack. In addition to this, the research will talk about the steps that should be taken to keep the computer network safe. The research will conclude with the best way and system to build a powerful and safe computer network.

Types of Computer Networks: A Comparison and Analysis

Research Aim: There are different types of computer networks, including LAN, WAN, PAN, MAN, CAN, SAN, etc. This research will discuss all the various types of computer networks to help readers understand how all these networks work. The study will then compare the different types of networks and analyse how each of them is implemented in different settings. The dissertation will also discuss the type of computer networks that businesses should use and how they can use them for their success. The study will then conclude which computer network is the best and how it can benefit when implemented.

Detecting Computer Network Attacks by Signatures and Fast Content Analysis

Research Aim: With technological advancement, today, many computer network attacks can be detected beforehand. While many techniques are utilised for detecting these attacks, the use of signatures and fast content analysis are the most popular ones. This research will explore these techniques in detail and help understand how they can detect a computer network attack and prevent it. The research will present different ways these techniques are utilised to detect an attack and help build powerful and safe computer networks. The research will then conclude how helpful these two techniques are and whether businesses should implement them.

Overview of Wireless Network Technologies and their Role in Healthcare

Research Aim: Wireless network technologies are utilised by several industries. Their uses and benefits have helped businesses resolve many business problems and assisted them in conducting their daily activities without any hindrance. This networking topic will help explore how wireless network technologies work and will talk about their benefits. This research aims to find out how wireless technologies help businesses carry out their daily routine tasks effortlessly. For this research, the focus will be on the healthcare industry. The study will investigate how wireless network technology has helped the healthcare sector and how it has benefited them to perform their daily tasks without much effort.

Setting up a Business Communication System over a Computer Network

Research Aim: Communication is an essential aspect of every business. Employees need to communicate effectively to keep the business going. In the absence of effective communication, businesses suffer a lot as the departments are not synchronised, and the operations are haphazard. This research will explore the different ways through which network technologies help conduct smooth and effective communication within organisations. This research will conclude how wireless networks have helped businesses build effective communication systems within their organisation and how they have benefited from it. It will then conclude how businesses have improved and solved major business problems with the help of these systems.

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Frequently Asked Questions

How to find computer networking dissertation topics.

To find computer networking dissertation topics:

Follow industry news and emerging technologies.
Investigate unresolved networking challenges.
Review recent research papers.
Explore IoT, cybersecurity , and cloud computing.
Consider real-world applications.
Select a topic aligned with your expertise and career aspirations.

95+ Latest Cyber Security Research Topics in 2024

Home Blog Security 95+ Latest Cyber Security Research Topics in 2024

The concept of cybersecurity refers to cracking the security mechanisms that break in dynamic environments. Implementing Cyber Security Project topics and cybersecurity thesis topics helps overcome attacks and take mitigation approaches to security risks and threats in real-time. Undoubtedly, it focuses on events injected into the system, data, and the whole network to attack/disturb it.

The network can be attacked in various ways, including Distributed DoS, Knowledge Disruptions, Computer Viruses / Worms, and many more. Cyber-attacks are still rising, and more are waiting to harm their targeted systems and networks. Detecting Intrusions in cybersecurity has become challenging due to their Intelligence Performance. Therefore, it may negatively affect data integrity, privacy, availability, and security.

This article aims to demonstrate the most current Cyber Security Research Topics for Projects and areas of research currently lacking. We will talk about cyber security research questions, cyber security topics for the project, latest research titles about cyber security.

List of Trending Cyber Security Research Topics in 2024

Digital technology has revolutionized how all businesses, large or small, work, and even governments manage their day-to-day activities, requiring organizations, corporations, and government agencies to utilize computerized systems. To protect data against online attacks or unauthorized access, cybersecurity is a priority. There are many Cyber Security Courses online where you can learn about these topics. With the rapid development of technology comes an equally rapid shift in Cyber Security Research Topics and cybersecurity trends, as data breaches, ransomware, and hacks become almost routine news items. In 2024, these will be the top cybersecurity trends.

A. Exciting Mobile Cyber Security Research Paper Topics

The significance of continuous user authentication on mobile gadgets.
The efficacy of different mobile security approaches.
Detecting mobile phone hacking.
Assessing the threat of using portable devices to access banking services.
Cybersecurity and mobile applications.
The vulnerabilities in wireless mobile data exchange.
The rise of mobile malware.
The evolution of Android malware.
How to know you’ve been hacked on mobile.
The impact of mobile gadgets on cybersecurity.

B. Top Computer and Software Security Topics to Research

Learn algorithms for data encryption
Concept of risk management security
How to develop the best Internet security software
What are Encrypting Viruses- How does it work?
How does a Ransomware attack work?
Scanning of malware on your PC
Infiltrating a Mac OS X operating system
What are the effects of RSA on network security ?
How do encrypting viruses work?
DDoS attacks on IoT devices

C. Trending Information Security Research Topics

Why should people avoid sharing their details on Facebook?
What is the importance of unified user profiles?
Discuss Cookies and Privacy
White hat and black hat hackers
What are the most secure methods for ensuring data integrity?
Talk about the implications of Wi-Fi hacking apps on mobile phones
Analyze the data breaches in 2024
Discuss digital piracy in 2024
critical cyber-attack concepts
Social engineering and its importance

D. Current Network Security Research Topics

Data storage centralization
Identify Malicious activity on a computer system.
Firewall
Importance of keeping updated Software
wireless sensor network
What are the effects of ad-hoc networks
How can a company network be safe?
What are Network segmentation and its applications?
Discuss Data Loss Prevention systems
Discuss various methods for establishing secure algorithms in a network.
Talk about two-factor authentication

E. Best Data Security Research Topics

Importance of backup and recovery
Benefits of logging for applications
Understand physical data security
Importance of Cloud Security
In computing, the relationship between privacy and data security
Talk about data leaks in mobile apps
Discuss the effects of a black hole on a network system.

F. Important Application Security Research Topics

Detect Malicious Activity on Google Play Apps
Dangers of XSS attacks on apps
Discuss SQL injection attacks.
Insecure Deserialization Effect
Check Security protocols

G. Cybersecurity Law & Ethics Research Topics

Strict cybersecurity laws in China
Importance of the Cybersecurity Information Sharing Act.
USA, UK, and other countries' cybersecurity laws
Discuss The Pipeline Security Act in the United States

H. Recent Cyberbullying Topics

Protecting your Online Identity and Reputation
Online Safety
Sexual Harassment and Sexual Bullying
Dealing with Bullying
Stress Center for Teens

I. Operational Security Topics

Identify sensitive data
Identify possible threats
Analyze security threats and vulnerabilities
Appraise the threat level and vulnerability risk
Devise a plan to mitigate the threats

J. Cybercrime Topics for a Research Paper

Crime Prevention.
Criminal Specialization.
Drug Courts.
Criminal Courts.
Criminal Justice Ethics.
Capital Punishment.
Community Corrections.
Criminal Law.

Cyber Security Future Research Topics

Developing more effective methods for detecting and responding to cyber attacks
Investigating the role of social media in cyber security
Examining the impact of cloud computing on cyber security
Investigating the security implications of the Internet of Things
Studying the effectiveness of current cyber security measures
Identifying new cyber security threats and vulnerabilities
Developing more effective cyber security policies
Examining the ethical implications of cyber security

Cyber Security Topics For Research Paper

Cyber security threats and vulnerabilities
Cyber security incident response and management
Cyber security risk management
Cyber security awareness and training
Cyber security controls and countermeasures
Cyber security governance
Cyber security standards
Cyber security insurance
Cyber security and the law
The future of cyber security

Research Area in Cyber Security

The field of cyber security is extensive and constantly evolving. Its research covers a wide range of subjects, including:

Quantum & Space
Data Privacy
Criminology & Law
AI & IoT Security
RFID Security
Authorisation Infrastructure
Digital Forensics
Autonomous Security
Social Influence on Social Networks

How to Choose the Best Research Topics in Cyber Security?

A good cybersecurity assignment heading is a skill that not everyone has, and unfortunately, not everyone has one. You might have your teacher provide you with the topics, or you might be asked to come up with your own. If you want more cyber security research topics, you can take references from Certified Ethical Hacker Certification, where you will get more hints on new topics. If you don't know where to start, here are some tips. Follow them to create compelling cybersecurity assignment topics.

1. Brainstorm

In order to select the most appropriate heading for your cybersecurity assignment, you first need to brainstorm ideas. What specific matter do you wish to explore? In this case, come up with relevant topics about the subject and select those relevant to your issue when you use our list of topics. You can also go to cyber security-oriented websites to get some ideas. Using any blog post on the internet can prove helpful if you intend to write a research paper on security threats in 2024. Creating a brainstorming list with all the keywords and cybersecurity concepts you wish to discuss is another great way to start. Once that's done, pick the topics you feel most comfortable handling. Keep in mind to stay away from common topics as much as possible.

2. Understanding the Background

In order to write a cybersecurity assignment, you need to identify two or three research paper topics. Obtain the necessary resources and review them to gain background information on your heading. This will also allow you to learn new terminologies that can be used in your title to enhance it.

3. Write a Single Topic

Make sure the subject of your cybersecurity research paper doesn't fall into either extreme. Make sure the title is neither too narrow nor too broad. Topics on either extreme will be challenging to research and write about.

4. Be Flexible

There is no rule to say that the title you choose is permanent. It is perfectly okay to change your research paper topic along the way. For example, if you find another topic on this list to better suit your research paper, consider swapping it out.

The Layout of Cybersecurity Research Guidance

It is undeniable that usability is one of cybersecurity's most important social issues today. Increasingly, security features have become standard components of our digital environment, which pervade our lives and require both novices and experts to use them. Supported by confidentiality, integrity, and availability concerns, security features have become essential components of our digital environment.

In order to make security features easily accessible to a wider population, these functions need to be highly usable. This is especially true in this context because poor usability typically translates into the inadequate application of cybersecurity tools and functionality, resulting in their limited effectiveness.

Cyber Security Research Topic Writing Tips from Expert

Additionally, a well-planned action plan and a set of useful tools are essential for delving into Cyber Security Research Topics. Not only do these topics present a vast realm of knowledge and potential innovation, but they also have paramount importance in today's digital age. Addressing the challenges and nuances of these research areas will contribute significantly to the global cybersecurity landscape, ensuring safer digital environments for all. It's crucial to approach these topics with diligence and an open mind to uncover groundbreaking insights.

Before you begin writing your research paper, make sure you understand the assignment.
Your Research Paper Should Have an Engaging Topic
Find reputable sources by doing a little research
Precisely state your thesis on cybersecurity
A rough outline should be developed
Finish your paper by writing a draft
Make sure that your bibliography is formatted correctly and cites your sources.

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Studies in the literature have identified and recommended guidelines and recommendations for addressing security usability problems to provide highly usable security. The purpose of such papers is to consolidate existing design guidelines and define an initial core list that can be used for future reference in the field of Cyber Security Research Topics.

The researcher takes advantage of the opportunity to provide an up-to-date analysis of cybersecurity usability issues and evaluation techniques applied so far. As a result of this research paper, researchers and practitioners interested in cybersecurity systems who value human and social design elements are likely to find it useful. You can find KnowledgeHut’s Cyber Security courses online and take maximum advantage of them.

Frequently Asked Questions (FAQs)

Businesses and individuals are changing how they handle cybersecurity as technology changes rapidly - from cloud-based services to new IoT devices.

Ideally, you should have read many papers and know their structure, what information they contain, and so on if you want to write something of interest to others.

Inmates having the right to work, transportation of concealed weapons, rape and violence in prison, verdicts on plea agreements, rehab versus reform, and how reliable are eyewitnesses?

The field of cyber security is extensive and constantly evolving. Its research covers various subjects, including Quantum & Space, Data Privacy, Criminology & Law, and AI & IoT Security.

Mrinal Prakash

I am a B.Tech Student who blogs about various topics on cyber security and is specialized in web application security

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Master's Theses

Topics for master's thesis seminar and projects in network and security.

Comparison of Firewall Rulesets in OpnSense, OpenWRT, and RouterOS

The aim of this project is to take an exemplary firewall rule set defined for the OpnSense firewall (using FreeBSD PF as the basis) and duplicate as many details as possible in a current OpenWRT (using the Linux netfilter based fw4 system) and RouterOS (with Mikrotik RouterOS CLI translating to Linux iptables rules). Based on this example, the main differences should be documented as findings for advantages/disadvantages of the respective systems. The example rule set should include multiple (VLAN) interfaces, a mix of IPv4 and IPv6 hosts and rules, different layer 4 protocols, and some special cases like multicast packet handling. A complete example with these aspects will be made available as part of the task. It is possible to extend this project towards a Master's thesis by including additional aspects such as comparative performance analysis, integration with VPN tunnels and dynamic routing, software mitigations for security relevant bugs in the respective kernels and network stacks, etc.

Kontakt: Rene Mayrhofer Michael Roland Michael Sonntag

Ingest probable location data using a Large Language Model

In the CDL Digidow (digidow.eu) ecosystem, users have complete control over their Personal Identity Agent (PIA), which can perform tasks, such as unlocking doors based on data gathered from sensors in the surrounding environment. One aspect of securing this system is that the PIA should be aware of their user's current activities, so it can judge if the person in front of the door might actually be an impostor. Two potential digital sources of such information, to take into account are the user's email account and calendar. The goal of this project is live-scanning this data, extracting relevant information like booked trains, flights, hotels, or other appointments, and outputting any identified events to the PIA's location model. You should use techniques like prompt engineering and agent-based approaches (no training or long-running fine-tuning) with existing local LLMs. You should expect to write some regular code in a reasonable language of your choice to continuously ingest input and forward the LLMs outputs. Your solution should maintain a list of detected future events, in an agreed-upon format, which the LLM can update and the location model can consume.

Contact: Rene Mayrhofer Martin Schwaighofer

DEPS Project - Problem A

Problem description: Industrial-scale reverse engineering is a big problem, with estimated losses for the industry at 6,4 billion dollars in 2022 in Germany alone. A closer look at the problem shows that typically the main effort needed to steal the intellectual property of companies producing machines controlled by software, resides on replicating hardware, since software can often be copied verbatim with no reverse engineering effort required.

Approach: In DEPS we aim to change this status quo by means of a novel copy protection mechanism that “glues” a program P to a specific machine M. More concretely, we propose to subtly change P into a (reflective) program P ′ which will turn itself into P at run time, only if it is run in the target machine M. If P ′ is executed in a machine M′ other than M (even if M′ is a clone of M), it will then behave incorrectly, i.e., differently than P. Clearly, for this approach to work, the changes that P ′ needs to make to its code to become P at run time need to be well protected. This can be achieved by making these changes dependent on physically unclonable properties of the target machine M, via a physically unclonable function (PUF).

Task: We would like you to work with us in a proof of concept of this novel protection mechanism, developing a prototype application of the protection applied to an example program P that controls a critical functions of a track tamping machine produced by our company partner Plasser & Theurer. The task is to implement the described protection mechanisms using reflection (i.e., self-modifying code) and a provided PUF. We will provide you with a detailed high-level specification of the mechanism and support you to refine it to the required level of abstraction, i.e., to its prototype implementation.

Prerequisites: If you apply for this project, we expect you to have good programming and problem solving skills, preferably in C and C++.

Contacts at SCCH: Dr. Flavio Ferrarotti Univ.-Prof. Dr. Juliana Bowles Rene Mayrhofer (Organization issues)

DEPS Project - Problem B:

Problem description: In man-at-the-end (MATE) software attacks, attackers target assets embedded in software. By means of reverse engineering they try to steal confidential information, such as intellectual property in the form of algorithms. MATE attackers can mount sophisticated attacks, as they can tamper with software and data in their labs, where they have all kinds of software aids, such as debuggers, tracers, emulators, and customized operating systems; and hardware aids such as developer boards with (JTAG-based) hardware debuggers. Software protection techniques developed in our project DEPS transforms code to prevent situations where MATE attackers can steals the intellectual property of companies producing machines controlled by software. In the current industrial landscape, attackers concentrate their effort on replicating hardware, since the software components can usually be copied verbatim with no or very little reverse engineering effort required. Industrial-scale reverse engineering is a big problem, with estimated losses for the industry at 6,4 billion dollars in 2022 in Germany alone.

Task: We want to evaluate thoroughly the protection mechanism developed in DEPS by modelling the most relevant relations between:

(i) assets,
(ii) the software those assets are embedded in,
(iii) deployed protections,
(iv) individual attack steps and tools and methods to perform attacks on those protections and on the assets,
(v) possible paths of attack that start from scratch and through which attackers can reach their ultimate reverse-engineering end goal, i.e., stealing the original asset.

For that, we propose to adapt and instantiate the meta-model for software protections and reverse engineering attacks proposed in https://www.sciencedirect.com/science/article/abs/pii/S0164121218302838 , opens an external URL in a new window with the specific DEPS protection approaches, protection goals and reverse engineering attacks applicable to our case studies, building a Knowledge Base to perform risk analysis.

Prerequisites: Solid knowledge of software security fundamentals. Knowledge of risk analysis techniques and/or reverse engineering techniques would be ideal.

Evaluating Attack Scenarios against Large Language Models

Abstract: Large Language Models (LLMs) like (Chat)GPT, LLaMA, Alpaca, etc. are currently being evaluated or already being put into use in many new scenarios, including decision-making processes. The aim of this thesis is to experiment with, evaluate, and potentially develop counter-measures to text-based attack scenarios for such LLMs. A starting point are the various (local or cloud hosted) chat based interfaces to interact with such models: by engineering text prompts to explicitly make models misbehave, that is, emit answers that seem counter to the intention of the respective scenario, the thesis should document a first starting set of attacking prompt types. Based on such attack prompts, the next question is how these prompts can be fed into LLM-using systems in specific scenarios, e.g. for filtering resumes of job applicants, preparing reviews of scholarly documents, or summarizing news sources. Potential approaches include hiding the attack prompts in various file formats such as HTML or PDF in a way that human reviewers will not notice the hidden prompts but LLMs acting on those files will receive them as input. Ideally, the thesis will end with a classification of attack prompt classes and injection methods for a starting set of LLM based services. Students interested in this topic should have a basic understanding of how machine learning in general and LLMs in particular as well as a strong interest in working around the usual constraints of a system to "think outside the box".

Contact: Rene Mayrhofer

Privacy-Preserving Biometric Matching via Secure Two-Party Computation

Abstract: Strong user authentication based on biometrics is gaining more and more importance. As a basis for further research in the domain of privacy-friendly usage of biometrics, the goal of this thesis project is to analyze the practical efficiency and performance of existing cryptographic approaches and frameworks based on secure two-party computation for matching biometric features in a privacy-preserving manner. This project will be done in collaboration with AIT.

Kontakt: Omid Mir, Rene Mayrhofer

Rust implementation of face detection and -recognition networks (Master project - Project in Networks and Security)

This master project helps to generalize research on face biometrics by increasing the pool of possible face detection and -recognition systems in our Rust implementation. Your task would be to research state-of-the-art systems and implement a subset of those in Rust.

Contact: Philipp Hofer

Evaluation of FIDO2 security key attestation

[FIDO2]( https://fidoalliance.org/fido2/ , opens an external URL in a new window ) is a standard for secure privacy-preserving cryptographic login to websites. FIDO2 tokens (or security keys) can be used as second-factor in addition to password-based login or as a standalone authentication token for [passwordless login]( https://www.yubico.com/authentication-standards/fido2/ , opens an external URL in a new window ). In order for a website to determine if a user's FIDO token is sufficiently trustworthy, tokens implement an [attestation mechanism]( https://fidoalliance.org/fido-technotes-the-truth-about-attestation/ , opens an external URL in a new window ). The goal of this thesis project is to analyze the capabilities (e.g. supported cryptographic algorithms) of current FIDO2 hardware (and software) tokens and to analyze their attestation mechanisms (particularly in terms of certificate chains).

Contact: Michael Roland

Evaluation of Tor relay performance

Can the Tor client experience be improved by limiting a Tor client to a subset of the available Tor relays? What criteria would be best suited to select a high-performance subset? The goal of this thesis is to answer these questions by analyzing the performance differences between Tor relays based on grouping them by publicly available attributes. Possible criteria could include (but are not limited to) the flags they have obtained (e.g. only using stable or fast relays for all connections), the port number they accept connections on, their age, their advertised bandwidth, etc.

Vein recognition

In the CDL Digidow (digidow.eu) sensors can identify participating individuals based on different biometric factors. This master thesis will compare different state-of-the-art vein recognition models and extend our real-life prototype with vein recognition.

Privacy on Smartphones

Protecting privacy on smartphones has been recognized as a vital factor because portable devices operate nowadays with more and more sensitive personal data (location/geotags, contacts, call history, text messages, photos, physical health, etc.). The goal of this work is to extend the Android Device Security Database (which is more focused on security, see https://www.android-device-security.org/ , opens an external URL in a new window ) to privacy attributes and indicators (e.g. privacy policies, user profiling, network traffic analysis, company resolution) for various OEMs/models.

Contact: Jan Horacek

Anomaly Detection in Cybersecurity

Abstract: Anomaly detection systems (such as ones implemented in EDR or IDS) are very useful tools that help blue teams, e.g., to identify exploitation of zero-day vulnerabilities. They are designed to detect (unusual) malicious activity based on events. The techniques used to find anomalies are very broad - ranging from predefined rules to deep learning methods. Furthermore, the scenarios that are relevant to this topic are quite extensive (LAN security, DDoS, UEBA, DLP, etc.). The thesis should address at least the first three points: 1. Scope: pick a scenario, explain the use cases and create appropriate test data/benchmarks (if they do not exist) 2. Methods: describe detection techniques including the underlying theory that suit the scope defined in 1. 3. Implementation: implement the techniques mentioned in 2. (preferably in python) and compare the performance, discuss the usability 4. Visualization: how to visualize events and anomalies in a system? 5. Research: improve some published results

Reading machine readable ID documents on Android

Abstract: The goal of this project is to create an open source implementation of an Android app to read and verify data from machine readable ID documents via NFC (such as eMRTD/electronic passport).

Mobile driving license reference implementation

Abstract: The goal of this project is to implement the current standard for mobile driving licenses (ISO/IEC 18013-5) on Android.

Physical user location model using machine learning

Abstract: Smart environments are increasing in popularity. In the CDL Digidow (digidow.eu) users can interact with various sensors in the physical world. In order to enhance the sensors ability to rapidly fulfill the users request(s), it could predict the users location and thus infer the most probable action in the future. The goal of this project is to create a prediction about the user location in the immediate future, based on various inputs, such as videos and smartphone sensors (IMU), by e.g. calculating movement vectors.

Security analysis of the Linux kernel in Mikrotik RouterOS

Abstract : Mikrotik RouterOS is a Linux kernel based embedded operating system for network routers, switches, access points, etc. While the userspace components are closed source, patches and configuration options for the used Linux kernel are available. The goal of this project is to analyze which security vulnerabilities - especially remotely exploitable ones - are publicly known for the user kernel version and if/how they have been patched. Necessary skills for this project include reading/writing C, reading and applying patches to source code, and compiling and testing native C code.

Security of e-scooters

TIER, Arolla, Wind, Lime, voi. ... after only two month e-scooters are all over Linz. The idea has been picked up pretty well and even the StVO (traffic rules) is going to be updated to bring (legal) clarity for the use of them. Besides all the positive voices, there is also quite some criticism, mainly about cityscape and safety. Above that, pushing to the market in such a short time frame also has the potential that security considerations have been left behind. Therefore, we are interested in various aspects of e-scooter security and have a few topics for master theses/projects to work on. Contact: Michael Roland

Tracking of persons through Wi-Fi sniffing

The goal of this project is to passively collect and analyze Wi-Fi (802.11) packets with regard to information that could be used to track or even identify an individual person. In particular, 802.11 management frames , opens an external URL in a new window such as probe requests seem to broadcast usable information. As a first step, you need to build an environment to passively collect (sniff) Wi-Fi communication and to extract the relevant data (possibly based on existing open source projects). Using that environment, you will collect and analyze data emitted from various mobile devices (particularly different smartphones, typically carried around in everyones pockets). Finally, you should be able to evaluate if that data could be used to track someone's movements around a building. Contact: Michael Roland

Injecting URLs and other data to Smart TVs via DVB-T

The Institute of Networks and Security has software defined radio hardware that should be suitable to create and inject DVB-T signals into receivers such as Smart TVs. The aim of this thesis is to reproduce and potentially extend the work shown in https://www.youtube.com/watch?v=bOJ_8QHX6OA , opens an external URL in a new window on how injected HbbTV URLs are automatically opened/executed on some Smart TVs to allow a remote code execution.

Security analysis of the communication protocol of a MAVIC PRO drone

This project aims to investigate the two communication channels (Wi-Fi and a custom RF) of a commercial drone ( http://www.dji.com/mavic?from=v3_landing_page , opens an external URL in a new window ) and analyze the used communication protocol. Using a software defined network and state-of-the-art reverse engineering tools, your goal is to find potential security weaknesses and make suggestions on how to improve the existing protocols. Contact: Rene Mayrhofer

Smart home security: preventing privacy leaks with home routers
E-Learning System für Websites am Beispiel RIS

Beispiels-Suchaufgaben mit Beobachtung des Benutzers (Eingabe, Mausbewegungen etc.) und adaptiven Reaktionen darauf (Verbesserungsvorschläge, Vorzeigen mit Maus&Eingabe + Audio-Kommentar); Zwei Varianten (ca. 10 Min. für Laien, ca. 90 Minuten für Profis) Contact: Michael Sonntag

Translate security protocols specified in Alice&Bob notation to Scyther language

Alice&Bob notation has been widely used to describe security protocols. However, protocol verification tools such as ProVerif, Scyther, and Tamarin have their own specification language. We are therefore interested in developing a tool that allows translating an Alice&Bob specification to other languages that can then be used as input to different verification tools. The goal of this particular task is to build a tool that translates an Alice&Bob specification to Scyther specification. As Scyther does not support equational theories that are often used to model for instance Diffie-Hellman exponentiation, not all Alice&Bob specifications are convertible to Scyther's language. Nevertheless, many protocols such as Kerberos and Needham-Schroeder variants are translatable. Contact: Jan Horacek

Johannes Kepler University Linz

Altenberger Straße 69

4040 Linz, Austria

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T4Tutorials.com

Network security research topics for ms phd, network security research topic ideas for ms, or ph.d. degree.

I am sharing with you some of the research topics regarding Network Security that you can choose for your research proposal for the thesis work of MS, or Ph.D. Degree.

CompTIA security+ guide to network security fundamentals
A survey of moving target defenses for network security
Modeling network security: Case study of email system
Programmable In-Network Security for Context-aware {BYOD} Policies
Composite metrics for network security analysis
Network security analysis using big data technology and improved neural network
CPT‐TODIM method for bipolar fuzzy multi‐attribute group decision making and its application to network security service provider selection
Optical network security management: requirements, architecture, and efficient machine learning models for detection of evolving threats
Classifying anomalies for network security
Cloud integrated IoT enabled sensor network security: research issues and solutions
Bio-Inspired Network Security for 5G-Enabled IoT Applications
Computer Network Security and Preventive Measures in the Age of Big Data
Scalable Game-Focused Learning of Adversary Models: Data-to-Decisions in Network Security Games.
Challenges and Novel Solutions for 5G Network Security, Privacy and Trust
A Review in Recent Development of Network Threats and Security Measures
Patterns and Interactions in Network Security
A Study of Network Security Situational Awareness in Internet of Things
Data-driven network layer security detection model and simulation for the Internet of Things based on an artificial immune system
Quantification of distribution network security with high penetration of distributed generators
NSAPs: A novel scheme for network security state assessment and attack prediction
Network security and privacy evaluation scheme for cyber physical systems (CPS)
What to Make of the Huawei Debate? 5G Network Security and Technology Dependency in Europe
An efficient method for network security situation assessment
Application of information communication network security management and control based on big data technology
Augmenting smart home network security using blockchain technology
Sdn/nfv-based security service function tree for cloud
Multiple pattern matching for network security applications: Acceleration through vectorization
Machine Learning, Image Processing, Network Security and Data Sciences: Second International Conference, MIND 2020, Silchar, India, July 30-31, 2020 …
Network intrusion detection combined hybrid sampling with deep hierarchical network
An Assessment of Practical Hands-On Lab Activities in Network Security Management
Cyber Deception for Computer and Network Security: Survey and Challenges
Computer Network System Security Management and Maintenance Strategy
Deep Learning for Security Problems in 5G Heterogeneous Networks
Reference architecture of the telecom network security protection system for cloud network convergence
Fortified Network Security Perception: A Decentralized Multiagent Coordination Perspective
Network security prediction model using neural networks
Machine learning enhanced network security
Prediction of network security based on DS evidence theory
Quantitative Evaluation Model of Network Security Situation Based on DS Evidence Theory
Computer Network Security Based on GABP Neural Network Algorithm
Decision Support for Mission-Centric Network Security Management
Strategy of Enterprise Network Security Protection Based on Cloud Computing
A systematic comparison of mobile Ad-hoc network security attacks
Research on the Quantitative Assessment and Security Measures of Hierarchical Network Security Threat Situation
Computer network security countermeasures based on big data
Network Security-Security Methods in Transnational Corporations (TNC)
Application of Computer Information Management Technology in Network Security
Research on network security protection technology of energy industry based on blockchain
A Comprehensive Study on Machine Learning Algorithms for Wireless Sensor Network Security
Security Technology of Wireless Sensor Network Based on IPSEC
Research on Computer Network Security Analysis Modeling Based on Artificial Intelligence Technology
Network security situation prediction based on grey relational analysis and support vector machine Algorithm
HMMs based masquerade detection for network security on with parallel computing
Analysis of Computer Network Security Threat Defense Measures under the Environment of Internet of Things
Composite Metrics for Network Security Analysis
Exploiting Channel Distortion for Transmitter Identification for In-Vehicle Network Security
Network Security Policy for Higher Education Institutions based on ISO Standards
Implementation of Machine Learning in Network Security
Research on Computer Network Security Problems and Protective Measures under the Background of Big Data
Discussion on the Countermeasures of Network Security in Computer Application
5G Network Security for IoT Implementation: A Systematic Literature Review
Research on Enterprise Computer Network Security Protection Technology Based on Information Technology
Long Term Evolution Network Security and Real-Time Data Extraction
Computer Network Security Hazards and Preventive Strategies
Research on Wireless Sensor Network Security Location Based on Received Signal Strength Indicator Sybil Attack
Research on Industrial Control Network Security Data Acquisition System
Network Security Issues of Data Link Layer: An Overview
Multi-source and multi-dimensional network security situational awareness model
Security Analysis of Public Security Terminal Network and Its Peripheral Equipment
A novel security model for cooperative virtual networks in the IoT era
Comprehensive fault simulation method in active distribution network with the consideration of cyber security
Research on Network Security Trend Prediction Based on Exponential Smoothing Algorithm
Security monitoring and network management for the power control network
A Research Journey of Full-Duplex at University of California from Self-Interference Cancellation to Wireless Network Security
Identifying the Best Network Security Using EDAS
Improving architectures for automating network security using specification-based protocols
A Logical Controller Architecture for Network Security
Network security situation analysis based on a dynamic Bayesian network and phase space reconstruction
Investigating the Filter Capacity of Linecouplers in KNX regarding network security
of Network Security: An End-to-End Panorama
CRYPTOGRAPHY TECHNOLOGY WITH NETWORK SECURITY
Improving Network Security through Collaborative Sharing
Information network security construction based on depth learning and modulus algorithm
Communications and Network Security
Construction of network security job service model based on rough set data analysis algorithm
Principles of Adaptive Corporate Network Security Management
Improvement of network security with the help of security key (Yubikey)
Reform of Network Security Technology Practice Teaching System Based on Virtual Simulation Training Platform
Analysis and Evaluation on the Network Security Defense in Power Marketing Industrial Control System
REAL-TIME TRAFFIC DETECTION AND ANALYSIS OF NETWORK SECURITY INTRUSION ATTACK: SNORT INTRUSION PREVENTION SYSTEM
Research on Computer Network Security Vulnerabilities and Preventive Measures Based on Multi-Platform
DEMILITARIZED ZONE AND PORT KNOCKING METHODS FOR COMPUTER NETWORK SECURITY
Research on Ad Hoc Network Security Risk Assessment Method
Research on Network Optimization and Network Security in Power Wireless Private Network
Research on Network Security Active Defense System Oriented to Electric Power Monitoring System
Development of trusted network and challenges it faces
Design of College Network Security Management System Based on SNMP Management Model
High-Performance and Range-Supported Packet Classification Algorithm for Network Security Systems in SDN
ULTRA-HIGH-SPEED NETWORK SECURITY APPLICATIONS
Network Security Intelligence Centres for Information Security Incident Management
Study on Experimental Teaching Virtual Simulation for Network Security and Law Enforcement Major
Real-time Network Intrusion Detection System with Supporting Cyber Security Regulations for Nuclear Power Plants
An Analytical Framework for Evaluation of Reliability and Security in Advanced Network Systems
A Review on Security and Privacy Issues and Challenges in Internet of Things
Research on the Security Strategy and Technology of Information Resource Network of Chinese Academy Library
Smart Pillboxes with Network Security
Network Security using Notable Cryptographic Algorithm for IoT Data
Security, Controllability, Manageability and Survivability in Trustworthy Network
A Remote Access Security Model based on Vulnerability Management
Computer and Network Security
Network Security Situation Prediction in Software Defined Networking Data Plane
A Data Fusion Framework of Multi-Source Heterogeneous Network Security Situational Awareness Based on Attack Pattern
Software-Defined Network Security over OpenStack Clouds: A Systematic Analysis.
Research on the Application of Deep Learning in Computer Network Information Security
Research on the game of network security attack‐defense confrontation through the optimal defense strategy
Leveraging Virtual Labs for Personalised Group-based Assessment in a Postgraduate Network Security and Penetration Testing Module
On the Improvement of the Stipulation of the Crime of Refusing to Fulfill the Obligation of Information Network Security Management
The Exploration and Research of the Network Security Offense and Defense Laboratory Cooperated by Schools and Enterprises under the Background of New …
Network Layer Security Detection Model of Internet of Things Based on Immune System
Security Analysis of Wireless Local Area Network (WLAN) Network with the Penetration Testing Method
Network Security Enabled Arduino Devices for Military Communication
Research on Information Security Monitoring and Early Warning Mechanism of Internet Application Network Based on Particle Swarm Optimization
Key Technology Analysis of Malicious Code Emergency Response in Computer Communication Network Security
Network Security Cryptographic Protocols and Lattice Problems
Network Security Situation Prediction based on Combining 3D-CNNs and Bi-GRUs.
Intelligent detection system of asset security vulnerability hidden danger under multiple and heterogeneous Web network
Construction of Compound DDOS Network Security System Based on PKI and CA Authentication
Construction and Research of Comprehensive Management Platform for Network Security of China University Information System
A Quantitative Study: Using the Latin Square Design Model in the Prioritization of Network Security Threats
Topological Data Analysis for Evaluation of Network Security Data
Quadratic Poly Certificateless Inductive Signcryption for Network Security
Research on Network Information Security Issues and Strategies under the Internet Plus Environment
A Review paper on Network Security and Cryptography
Research Productivity of Publications towards IoT in Network Security
Application of target tracking and abnormal target detection algorithm in power network security
A New Experiment Teaching Mode for Network Security & Law Enforcement Major to Meet the Need of New Engineering Talent Training
Analysis of Information Security Protection of Power System Computer Network
A Conceptual Model for the Implementation of Cyber Security Measures in a Process Control Network Environment
Network security defense model based on firewall and IPS
Encryption and Decryption for Network Security Using Reverse Context-Free Grammar Productions
Wireless Sensor Network Security for Smart Home IoT Systems
Security in SDN: A comprehensive survey
Zero Trust Network Security Model in containerized environments
Research on Situation Awareness of Universities’ Network Information Security in the Big Data Environment
Applying network analysis to explore the global scientific literature on food security
” 5G network security”.
Study on the Training Mode of Network Security Practical Talent in Vocational and Technical College Based on Gamification and Leveling up
Exploring Network Security Using Vigenere Multiplicative Cipher Encryption and Implementation
Adversarial detection games in network security applications with imperfect and incomplete information
Learning to upgrade internet information security and protection strategy in big data era
Computer Network Information Security and Protection Strategy
Information Encryption Algorithm in Power Network Communication Security Model
Research on Campus Network Security Problem and Protection Strategy
Anonymization of Event Logs for Network Security Monitoring
Self-corrected coefficient smoothing method based network security situation prediction
CS 646-102: Network Protocols Security (Revised for Remote Learning)
Special issue on security and privacy in network computing
Security region of natural gas network in electricity-gas integrated energy system
Forecasting Security Alerts Based on Time Series
A composable security treatment of the lightning network
Cloud Security Issues &Network Security in Private Cloud
5G carrier network data collection and security management evolution ideas
UNSW-NB15 Computer Security Dataset: Analysis through Visualization
5G network slicing: a security overview
New Security Management Scheme for Software-Defined-Networks
In-vehicle network intrusion detection using deep convolutional neural network
Security for mobile edge cloud
Critical infrastructure under attack: lessons from a honeypot
The Development of Artificial Intelligence Technology And Its Application in Communication Security
Moving Target Defense to set Network Slicing Security as a KPI
Computer Security Vulnerabilities and Preventive Measures
Security-aware virtual network embedding algorithm based on reinforcement learning
A cloud-fog-edge closed-loop feedback security risk prediction method
A Matter of Life and Death: Analyzing the Security of Healthcare Networks
Security Risk Analysis based on Data Criticality
Security and privacy in vehicular ad hoc network and vehicle cloud computing: a survey
Powerless Security
Security design and application of Internet of things based on asymmetric encryption algorithm and neural network for COVID-19
Research on intelligent cyber security protection for electric power dispatching and control system
Machine learning threatens 5G security
Technological Tools for Data Security in the Treatment of Data Reliability in Big Data Environments
Blockchain-Enabled Distributed Security Framework for Next-Generation IoT: An Edge Cloud and Software-Defined Network-Integrated Approach
Real-time task scheduling and network device security for complex embedded systems based on deep learning networks
Management Innovation of Network Society Based on Big Data
Who’s that knocking at the door? The problem of credential abuse
Consumer IoT: Security vulnerability case studies and solutions
New Security System Development Universally Applicable and Enforceable
The state‐of‐the‐art in container technologies: Application, orchestration and security
Network slicing in 5G and the security concerns
Research on Computer Security Protection Technology Based on Information
Research of Security Routing Protocol for UAV Communication Network Based on AODV
Deep learning for cyber security intrusion detection: Approaches, datasets, and comparative study
Hybrid analysis of android apps for security vetting using deep learning
Mobility enabled security for optimizing IoT based intelligent applications
Providing Information Security on the Base of Artificial Immune System for Industrial Internet of Things
A Survey of The Design and Security Mechanisms of The Wireless Networks and Mobile Ad-Hoc Networks
An enhanced anonymity resilience security protocol for vehicular ad-hoc network with scyther simulation
LSWBVM: A lightweight security without using batch verification method scheme for a vehicle ad hoc network
The limitations in the state-of-the-art counter-measures against the security threats in H-IoT
Deepopf: A deep neural network approach for security-constrained dc optimal power flow
Security and privacy challenges in 5G-enabled vehicular networks
A Zero Trust Network Research Based on Overlay Technology
6g white paper: Research challenges for trust, security and privacy
Blockchains, Cryptocurrency, and Smart Contracts Technology: Security Considerations
Security information transmission algorithms for IoT based on cloud computing
The four biggest malware threats to UK businesses
Are your IT staff ready for the pandemic-driven insider threat?
Smart security audit: Reinforcement learning with a deep neural network approximator
Analysis and Research of Enterprise Information System Security Based on e-Commerce
NETWORK SECURITY & INTERKONEKSI JARINGAN DENGAN L2TP+ IPSEC
Anomaly Detection for Network Flow Using Immune Network and Density Peak.
Routing, Wavelength and Time-Slot Assignment Approaches with Security Level in QKD-Enabled Optical Networks
An intelligent cross layer security based fuzzy trust calculation mechanism (CLS-FTCM) for securing wireless sensor network (WSN)
A review on IoT security architecture: attacks, protocols, trust management issues, and elliptic curve cryptography
New Model and Application of Security Region for Metering Device Status Estimation
Cyber-Physical Security of Powertrain Systems in Modern Electric Vehicles: Vulnerabilities, Challenges and Future Visions
Accounting Informationization in Computer Network Environment
TUGAS RESUME SEMINAR ACHIEVING A QUANTUM LEAP IN NETWORK SECURITY
Research on Security Protection Technology Based on Terminal Information Jump
Through the lens of code granularity: A unified approach to security policy enforcement
Discussion and Analysis of Computer Information Data Security and Encryption Technology
ZSM security: Threat surface and best practices
Optimal network defense strategy selection based on Bayesian game
Architecture of Security Protection technology for Aviation Cyberspace
Selection of intermediate routes for secure data communication systems using graph theory application and grey wolf optimisation algorithm in MANETs
Hybrid intrusion detection system using machine learning
Cyber-security on smart grid: Threats and potential solutions
Information Security Applications
Comparative analysis of ML classifiers for network intrusion detection
A Network Traffic Classification Method Based on Hierarchical Clustering
Security architecture for defining and enforcing security profiles in dlt/sdn-based iot systems
Exploring the Storj Network: a Security Analysis
Designing a cyber-security culture assessment survey targeting critical infrastructures during covid-19 crisis
Security and trust in blockchains: Architecture, key technologies, and open issues
Efficient signal and protocol level security for network communication
Intrudtree: a machine learning based cyber security intrusion detection model
Self-aware networks that optimize security, QoS, and energy
Network Traffic Control Using AI
Predicting the adoption of a mobile government security response system from the user’s perspective: An application of the artificial neural network approach
A Hybrid Framework for Security in Cloud Computing Based on Different Algorithms
Modeling the impact of network connectivity on consensus security of Proof-of-Work blockchain
Software-defined network (SDN) data plane security: issues, solutions, and future directions
Intelligent security and optimization in Edge/Fog Computing
5G network slicing with QKD and quantum-safe security
Safety Situation Assessment of Underwater Nodes Based on BP Neural Network
Security and Privacy Concerns in Wireless Networks-A Survey
Federating Tactical Edge Networks: Ways to Improve Connectivity, Security, and Network Efficiency in Tactical Heterogeneous Networks
Critical analysis of security and privacy challenges for the Internet of drones: a survey
Towards a Security Enhanced Virtualised Network Infrastructure for Internet of Medical Things (IoMT)
Robust detection for network intrusion of industrial IoT based on multi-CNN fusion
Smart city-based e-commerce security technology with improvement of SET network protocol
Security issues in cloud computing
New Ways of Implementing Cyber Security to Help in Protecting America
Spacechain: a three-dimensional blockchain architecture for IoT security
Effective attack detection in internet of medical things smart environment using a deep belief neural network
Innovation and risk walk hand-in-hand with 5G and IoT
A Comprehensive Mechanism of MANET Network Layer Based Security Attack Prevention
Managing endpoints, the weakest link in the security chain
Power system reserve scheduling with wind farm integration considering robust security constraints
IoT Security: Simulation and Analysis of TCP SYN Flooded DDOS Attack using WireShark
Machine learning based solutions for security of Internet of Things (IoT): A survey
An efficient Lightweight integrated Blockchain (ELIB) model for IoT security and privacy
Targeted cyber attacks: how to mitigate the increasing risk
Data Security Risk and Preventive Measures of Virtual Cloud Server Based on Cloud Computing
Attacks and Security Measures in Wireless Sensor Network
The Exploration of the Training Mode in the Major of Information Security in University
Towards {HTTPS} Everywhere on Android: We Are Not There Yet
Comprehensive analysis of MQTT 5.0 susceptibility to network covert channels
Analysing and forecasting the security in supply-demand management of Chinese forestry enterprises by linear weighted method and artificial neural network
Image transformation network for privacy-preserving deep neural networks and its security evaluation
TLS-level security for low power industrial IoT network infrastructures
A comprehensive report on security and privacy challenges in Software as a Service
Big data analytics in cyber security: Network traffic and attacks
Security of HyperLogLog (HLL) cardinality estimation: Vulnerabilities and protection
Security Clustering Algorithm Based on Integrated Trust Value for Unmanned Aerial Vehicles Network
Solving the security problem of intelligent transportation system with deep learning
Analysis of security and energy efficiency for shortest route discovery in low‐energy adaptive clustering hierarchy protocol using Levenberg‐Marquardt neural network …
Topological analysis of bitcoin’s lightning network
Modeling network architecture: a cloud case study
Security architectures in wireless sensor network
Physical layer security of a two way relay based mixed FSO/RF network in the presence of multiple eavesdroppers
Research on Model of Assessing Security Situation for Industrial IoT
Physical Layer Security for UAV Communications
Methods and Techniques for Dynamic Deployability of Software-Defined Security Services
Security Analysis of Two Unbalancing Pairing-free Identity-based Authenticated Key Exchange Protocols
Research on Ideological and Political Education of College Students Based on Network Information Security
Security and privacy challenges in vehicular ad hoc networks
Security of RPL based 6LoWPAN Networks in the Internet of Things: A Review
ATTDC: An active and trace-able trust data collection scheme for industrial security in smart cities
TD²SecIoT: Temporal, Data-Driven and Dynamic Network Layer Based Security Architecture for Industrial IoT.
A review of machine learning approaches to power system security and stability
Review on the security threats of internet of things
Internet of Things: A Secure Cloud-Based MANET Mobility Model
Research on the technology of artificial intelligence in computer network under the background of big data
IoT security: Advances in authentication
Open source and security: why transparency now equals strength
Exploration on the Diversified Cultivation of Cyber Space Security Talent in Higher Vocational Colleges under the Background of the Fusion of Production and …
Deep recurrent neural network for IoT intrusion detection system
Social network analysis and mining: privacy and security on Twitter
An efficient XGBoost–DNN-based classification model for network intrusion detection system
Modified zone based intrusion detection system for security enhancement in mobile ad hoc networks
How data can be the lingua franca for security and IT
A comprehensive survey: Benefits, services, recent works, challenges, security, and use cases for sdn-vanet
Securing of Unmanned Aerial Systems (UAS) against security threats using human immune system
TNSR security networking software: Basic configuration of a security solution
A support system for civil aviation navigation equipment security management
Unmanned Systems Security: Models, Challenges, and Future Directions
Study of artificial neural networks in information security risk assessment
Identifying and mitigating security risks for secure and robust NGI networks
Wireless Sensor Network in Agriculture: Model of Cyber Security
Automated Deployment of a Security Operations Center
Deep Q-Network for Enhanced Data Privacy and Security of IoT Traffic
12th International Symposium on Foundations and Practice of Security, Toulouse, 05/11/19-07/11/19
Security challenges of Internet of Underwater Things: A systematic literature review
Methodology for complex security
Security and channel noise management in cognitive radio networks
Review of Physical Layer Security Technology in Battlefield Network
Survey on the internet of vehicles: Network architectures and applications
iOS, Your {OS}, Everybody’s {OS}: Vetting and Analyzing Network Services of iOS Applications
Demystifying internet of things security: successful iot device/edge and platform security deployment
Research on Index System Construction and Assessment Methods of Distribution Network CPS Security Against Cyber Attack
Stochastic two-stage reliability-based Security Constrained Unit Commitment in smart grid environment
Integrating complex event processing and machine learning: An intelligent architecture for detecting IoT security attacks
Optimising storage processes to reduce the risk of ransomware
An ANP-GRA-based evaluation model for security features of IoT systems
SDARP: Security based Data Aware Routing Protocol for ad hoc sensor networks
Convolutional neural network-based feature extraction using multimodal for high security application
Security offloading network system for expanded security coverage in IPv6-based resource constrained data service networks
Security-Aware Carrier Network Planning
Addressing security and privacy issues of IoT using blockchain technology
Ensuring security framework for WBANs
Network information theoretic security
Improving CAN bus security by assigning dynamic arbitration IDs
A Canvass of 5G Network Slicing: Architecture and Security Concern
Operational technology security–a data perspective
Towards security-Aware 5G slice embedding
Review of security challenges in healthcare internet of things
Mobile Payment Security in the Context of Big Data: Certificateless Public Key Cryptography
Practical Security for Cooperative Ad Hoc Systems
Improving the Security and Reliability of Embedded Networks With TTMAC-CAN
A Voice Signal Interpreter using Machine Learning Techniques
The 2020 Data Breach Investigations Report–a CSO’s perspective
Security and Privacy for Mobile Edge Caching: Challenges and Solutions
On Development of a Game‐Theoretic Model for Deception‐Based Security
Advanced malicious beaconing detection through AI
What does ‘secure by design’actually mean?
Advanced metering infrastructures: security risks and mitigation
Sdn-based vanets, security attacks, applications, and challenges
On the Security of a Practical Constant-Size Ring Signature Scheme.
DecChain: A decentralized security approach in Edge Computing based on Blockchain
Evaluating the performance of the OSCORE security protocol in constrained IoT environments
LoRaWAN protocol: specifications, security, and capabilities
Security Approaches in Machine Learning for Satellite Communication
Keyloggers: silent cyber security weapons
Security of Cryptocurrencies in blockchain technology: State-of-art, challenges and future prospects
INSPIRE-5Gplus: Intelligent security and pervasive trust for 5G and beyond networks
The future of blockchain technology in healthcare internet of things security
Security and privacy in 6G networks: New areas and new challenges
Security and Privacy of Lightning Network Payments with Uncertain Channel Balances
Security and Communication Network Automatic Analysis Architecture of IoT Malware Samples
Optimized image processing and clustering to mitigate security threats in mobile ad hoc network.
A survey on boosting IoT security and privacy through blockchain
Construction of Innovation and Entrepreneurship Training System for Network Information Security Talents
Secure Socket Layer (SSL) in the Network and Web Security
ANALYZING AND EVALUATING THE SECURITY STANDARDS IN WIRELESS NETWORK: A REVIEW STUDY
Discussion on the Application of 5G Network UAV in Public Security of Smart Cities
Security Architecture and Protocols for Secure MQTT-SN
Internet of Things (IoT) enabling technologies, requirements, and security challenges
Sustainable Infrastructure Monitoring for Security-Oriented Purposes
Modbus Protocol Based on the Characteristics of the Transmission of Industrial Data Packet Forgery Tampering and Industrial Security Products Testing
HELAD: A novel network anomaly detection model based on heterogeneous ensemble learning
Research on term extraction technology in computer field based on wireless network technology
A Proposed Approach for Wireless Sensor Networks Security
Network and System Security
Sports and health big data system based on 5G network and Internet of Things system
Cloud Computing Security Challenges and Threats
A Security Protection Method for In-Vehicle Millimeter Wave Radar Network Based on Digital Watermarking Technology
A security policy model transformation and verification approach for software defined networking
Data presentation in security operations centres: exploring the potential for sonification to enhance existing practice
BAT: deep learning methods on network intrusion detection using NSL-KDD dataset
Secure data storage and recovery in industrial blockchain network environments
Internet of Things: Evolution and technologies from a security perspective
Bot mitigation–how gapsin understanding and ownership are exposingbusinesses to greater threats
Truck platoon security: State-of-the-art and road ahead
Expansion of {ICS} testbed for security validation based on {MITRE} atT&Ck techniques
Research and implementation of information security for intelligent distribution network
Enhancing medical data security via combining elliptic curve cryptography and image steganography
Security analysis of an automobile controller area network bus
Towards blockchain-based software-defined networking: security challenges and solutions
Security Analysis of Hybrid Multi-Carrier Energy Systems
IoT-KEEPER: Detecting malicious IoT network activity using online traffic analysis at the edge
Source-Grid-Load Combined Security Assessment of PV-Penetrated Distribution Network
Fast key-frame image retrieval of intelligent city security video based on deep feature coding in high concurrent network environment
Enhancing the Robustness and Security Against Various Attacks in a Scale: Free Network
5G network-based Internet of Things for demand response in smart grid: A survey on application potential
Security/stability-based Pareto optimal solution for distribution networks planning implementing NSGAII/FDMT
POSTER: A Survey of Security Challenges with 5G-IoT
Computer Network Information Security in the Big Data Era
Blockchain technology in the future of business cyber security and accounting
A secure fuzzy extractor based biometric key authentication scheme for body sensor network in Internet of Medical Things
Identifying the attack surface for IoT network
Cyber security threats and vulnerabilities: a systematic mapping study
Security and privacy in social networks: data and structural anonymity
Nozomi Networks: OT/IoT Security Report
Analysis of wireless sensor network multi-sensor data fusion security method
Overview of the mobility related security challenges in LPWANs
Behavioral and game-theoretic security investments in interdependent systems modeled by attack graphs
Security provision for vehicular fog computing
Towards a reliable comparison and evaluation of network intrusion detection systems based on machine learning approaches
Deep reinforcement learning approach for autonomous vehicle systems for maintaining security and safety using LSTM-GAN
Security Issues in Fog Environment: A Systematic Literature Review
A taxonomy of network threats and the effect of current datasets on intrusion detection systems
Overview and prospect of 5G security
Ensuring information security as an ideological problem
A Review on the Security of the Internet of Things: Challenges and Solutions
Ddosnet: A deep-learning model for detecting network attacks
Security implications of underlying network technologies on industrial internet of things
SecONet: A Security Framework for a Photonic Network-on-Chip
Towards an Insightful Computer Security Seminar
Bitcoin and blockchain: Security and privacy
Multidomain security authentication for the Internet of things
Computer Network Information Security Protection Based on Virtual Private Network
Addressing cyber security skills: the spectrum, not the silo
Data Security in Mobile Cloud Computing: A State of the Art Review.
Security of Wi-Fi as a Key Factor for IoT
Blockchain technology, improvement suggestions, security challenges on smart grid and its application in healthcare for sustainable development
What Email Servers Can Tell to Johnny: An Empirical Study of Provider-to-Provider Email Security
On the security of networked control systems in smart vehicle and its adaptive cruise control
Smart city development in Taiwan: From the perspective of the information security policy
Conditional Privacy-Preserving Anonymous Authentication Scheme With Forward Security in Vehicle-to-Grid Networks
Adhering to privacy by design with identity-as-a-service
Intelligence, security, and vehicular sensor networks in internet of things (IoT)-enabled smart-cities: An overview
A survey of DDoS attacking techniques and defence mechanisms in the IoT network
Overcoming the Security Shortcomings Between Open vSwitch and Network
Software-Defined Network (SDN) Architecture and Security Considerations for 5G Communications
Significant Role of Security in IOT Development and IOT Architecture
Design of a Security Service Orchestration Framework for NFV
Distb-sdoindustry: Enhancing security in industry 4.0 services based on distributed blockchain through software defined networking-iot enabled architecture
A Lightweight Internet Sharing Scheme for Sectional Medical Images according to Existing Hospital Network Facilities and Basic Information Security Rules
Orchestrating SDN Control Plane towards Enhanced IoT Security
Secure D2D communication for 5G IoT network based on lightweight cryptography
Security on Blockchain Technology
Research on security situation assessment algorithm under virtual technology of cloud platform
A survey on security challenges in cloud computing: issues, threats, and solutions
An efficient approach for enhancing security in Internet of Things using the optimum authentication key
Technology Architecture of Smart Grid Information Security Defense System
Design and implementation of automated IoT security testbed
DMASK-BAN: Improving the security of body area networks
A Deep Learning Approach for Detecting Security Attacks on Blockchain.
Network slicing: Recent advances, taxonomy, requirements, and open research challenges
Security monitoring of heterogeneous networks for big data based on distributed association algorithm
When wireless security meets machine learning: Motivation, challenges, and research directions
Salsa20 based lightweight security scheme for smart meter communication in smart grid
Security Analysis of Power System Network Based on Complex Network
A blockchain-enabled deduplicatable data auditing mechanism for network storage services
A Mobile Crowdsensing Data Security Delivery Model Based on Tangle Network
Research on Information Security Evaluation Based on Artificial Neural Network
A study on a security model for the establishment of a non-face-to-face smart work working environment in a physical network separation environment of public …
Borders of Digital Network Freedom in Public Security Space
Multilevel Security Framework for NFV Based on Software Defined Perimeter
Security in low-power wide-area networks: state-of-the-art and development toward the 5G
Artificial intelligence models in power system analysis
Random linear network coding based physical layer security for relay-aided device-to-device communication
Dynamic patterns of terrorist networks: Efficiency and security in the evolution of eleven islamic extremist attack networks
Comments on “Dropping Activation Outputs with Localized First-Layer Deep Network for Enhancing User Privacy and Data Security”
Security Method for Internet of Things Using Machine Learning Against Cyber Attacks
A Study on Wireless Network Management for Security Enhancement
Convolutional Neural Network Based Sound Recognition Methods for Detecting Presence of Amateur Drones in Unauthorized Zones
The Security Issues in IoT-Cloud: A Review
Data Security System for A Bank Based on Two Different Asymmetric Algorithms Cryptography
Keeping a secure hold on data through modern electronic content management
Trustworthy image security via involving binary and chaotic gravitational searching within PRNG selections
Security Concerns during Photo Sharing in Social Network Platforms
Security schemes based conditional privacy-preserving in vehicular ad hoc networks
Security Vulnerabilities, Attacks, Threats and the Proposed Countermeasures for the Internet of Things Applications
Roadmap Toward a Network Infrastructure for Public Safety and Security
Bluetooth Low Energy Mesh Networks: Survey of Communication and Security Protocols
A survey on security and privacy issues in edge computing-assisted internet of things
Energy efficient protocol in wireless sensor network: optimized cluster head selection model
Security in wireless sensor networks: Issues and challenges
Computer network simulation with ns-3: A systematic literature review
Stable Multi-agent Clustering Method to Improve the Security in VANET
Research on Data Security of Wireless Body Area Network
Plaintext-related image encryption algorithm based on perceptron-like network
CS 646-852: Network Protocols Security
AI-driven zero touch network and service management in 5G and beyond: Challenges and research directions
Technique for Information Security Based on Controls Established by the SysAdmin Audit, Networking and Security Institute
Integrating Smartphone Network Architecture and Data Security Techniques to Mitigate Sharp Practices in Non-Profit Organizations
A study of ensemble methods for cyber security
Security problems of 5G voice communication
Security and privacy issues in fog computing for healthcare 4.0
Applying Smart Security Model to Protect Client Services From the Threats of the Optical Network
A crowdsourcing method for online social networks security assessment based on human-centric computing
Security mechanism building for big data based on Trusted Computing
A stacking ensemble for network intrusion detection using heterogeneous datasets
Security in a mobile learning environment
Using the security triad to assess blockchain technology in public sector applications
Cognitive Radio Network-Based Design and Security Challenges in 5G Communication
A real-time and ubiquitous network attack detection based on deep belief network and support vector machine
Entity identification and security solutions in IoT based on PKI and Blockchain technology
SEPAD–Security Evaluation Platform for Autonomous Driving
Security of Distributed Machine Learning
Key business drivers for IoT development and security principles
LD2FA-PSO: A novel Learning Dynamic Deterministic Finite Automata with PSO algorithm for secured energy efficient routing in Wireless Sensor Network
A dynamic event-triggered approach to observer-based PID security control subject to deception attacks
Physical Layer Security for in-Body Wireless Cardiac Sensor Network
Physical layer security for massive access in cellular Internet of Things
A Clustering TDMA and Code Block Binding Algorithms to Enhance the Node Energy and Security of the Network
Critical risk considerations in auto-ID security: Barcode vs. RFID
SCADA (Supervisory Control and Data Acquisition) systems: Vulnerability assessment and security recommendations
The IoT security gap: a look down into the valley between threat models and their implementation
IGAN-IDS: An imbalanced generative adversarial network towards intrusion detection system in ad-hoc networks
Analyzing the Effects of Ad Hoc Security in MANET with AODV
Towards the Impact of Security Vunnerabilities in Software Design: A Complex Network-Based Approach
On the placement of security-related Virtualised Network Functions over data center networks
Security Issues and Challenges in Cloud Computing-Review
A Bayesian learning based scheme for online dynamic security assessment and preventive control
Security threats and countermeasures in software defined network using efficient and secure trusted routing mechanism
Security issues in IoT and their countermeasures in smart city applications
Offline witness encryption with semi-adaptive security
An Overview on Cyber Security Paradigms
Security Risks and Challenges in IoT-Based Applications
Adaptive data and verified message disjoint security routing for gathering big data in energy harvesting networks
Internet of things architecture and security challenges
Network Power: China’s efford to reshape Asia’s Regional Security Architecture
Cyber-physical systems security education through hands-on lab exercises
A Security Concept Based on Scaler Distribution of a Novel Intrusion Detection Device for Wireless Sensor Networks in a Smart Environment
Testbeds, attacks, and dataset generation for big data cluster: A system application for big data platform security analysis
Improving Internet of Things (IoT) security with software-defined networking (SDN)
Evolving deep learning architectures for network intrusion detection using a double PSO metaheuristic
Riskio: A serious game for cyber security awareness and education
Cyber Security Risk Analysis and Protection Structure Design for Power Distribution IoT
Security, privacy and trust of different layers in Internet-of-Things (IoTs) framework
Hardware Security of the Controller Area Network (CAN Bus)
The Risk of Facebook Social Media Network on Social Security
Artificial Intelligence Techniques for Information Security in 5G IoT Environments
Security and Performance Evaluation of Master Node Protocol in the Bitcoin Peer-to-Peer Network
How Can IoT Services Pose New Security Threats In Operational Cellular Networks?
Bio-inspired security analysis for IoT scenarios
Information Security of Power Plants
Security and the smart city: A systematic review
Security Access Solution of Cloud Services for Trusted Mobile Terminals Based on TrustZone.
Security challenges over cloud environment from service provider prospective
Development of testbed for cyber-manufacturing security issues
Image Processing and Post-Data Mining Processing for Security in Industrial Applications: Security in Industry
Effectiveness of SCADA System Security Used Within Critical Infrastructure
Statistical in-depth security analysis for Vehicle to everything communication over 5g network
Security Properties of Light Clients on the Ethereum Blockchain
Application Research of “Edge-Cloud Collaboration” Architecture in Security Protection of Ubiquitous Power Internet of Things
IoT Security Using Deception–Measuring Improved Risk Posture
A systematic literature review of blockchain cyber security
A Review on Security and Privacy of Internet of Medical Things
A Security Enhanced 5G Authentication Scheme for Insecure Channel
Security Attacks In MANET–A Comprehensive Study
Understanding security in the government’s use of blockchain technology with value focused thinking approach
A survey of network virtualization techniques for internet of things using sdn and nfv
A security Assessment of Distribution Network CPS Based on Association Matrix Modeling Analysis
A methodology for security classification applied to smart grid infrastructures
Design and Implementation of Full-Scale Industrial Control System Test Bed for Assessing Cyber-Security Defenses
Improving information security risk analysis by including threat-occurrence predictive models
Security-enhanced OFDM-PON with two-level coordinated encryption strategy at the bit-level and symbol-level
Cyber ranges and security testbeds: Scenarios, functions, tools and architecture
Towards fuzzy anomaly detection-based security: a comprehensive review
Security issues and challenges in V2X: A Survey
A multi-stage anomaly detection scheme for augmenting the security in IoT-enabled applications
… network modeling to estimate upscaled parameters for the Topopah Spring, lava flow, and Tiva Canyon Aquifers at Pahute Mesa, Nevada National Security …
Regulation and Security Modelling of Essential Services in Network of Information Systems
Survey on IoT: Security Threats and Applications
Deep learning and big data technologies for IoT security
A Concept for Establishing a Security Operations and Training Centre at the Bulgarian Naval Academy
Analysis of the Information Security Risk Assessment Mechanism Based on the Power System
Security, cybercrime and digital forensics for IoT
A Systematic Survey on Software-Defined Networks, Routing Protocols and Security Infrastructure for Underwater Wireless Sensor Networks (UWSNs)
Feature Selection for Deep Neural Networks in Cyber Security Applications
Design and implementation of a security system based on ADSL access technology
Improved Security Particle Swarm Optimization (PSO) Algorithm to Detect Radio Jamming Attacks in Mobile Networks
Security Threats in 5G Edge Computing Environments
A Research Paper on Social Engineering and Growing Challenges in Cyber Security
Has the global expansion of energy markets truly improved energy security?
Study on Stochastic Differential Game Model in Network Attack and Defense
Security overhead of random linear network coding in multicast relay networks
Development of security mechanisms for a remote sensing system based on opportunistic and mesh networks
Ethereum smart contract security research: survey and future research opportunities
Cyber-physical security and resiliency analysis testbed for critical microgrids with ieee 2030.5
Research on Application of Internet of Things Information Security Using Blockchain Technology
Virtualization Construction of Security Components of Edge IoT Agent Based on Security Requirements
Assessment of Security Issues in Banking Sector of Libya
The Technique of Implementation Security into Clinical Internet of Things
Enlisting human resources to mitigate information security risks
Understanding the MANET Security Using Various Algorithms and Types
On the Application of Computer Archives Management System and the Path of Security Maintenance
Vehicle communication network in intelligent transportation system based on internet of things
Design and modeling an Adaptive Neuro-Fuzzy Inference System (ANFIS) for the prediction of a security index in VANET
Analysis of Segregated Witness Implementation for Increasing Efficiency and Security of the Bitcoin Cryptocurrency
Improved lightweight security approach routing protocol in internet of things
Understanding the role of incentives in security behavior
A Sharding Scheme based Many-objective Optimization Algorithm for Enhancing Security in Blockchain-enabled Industrial Internet of Things
Co-design of dual security control and communication for nonlinear CPS under DoS attack
Physical layer security in vehicular networks with reconfigurable intelligent surfaces
SECURING OF THE AD HOC NETWORK BY USING SECURITY PROTOCOL FOR RELIABLE DATA DELIVERY
A survey on the security of blockchain systems
Fast image encryption algorithm with high security level using the Bülban chaotic map
Security Fundamentals for E-Commerce
A Security Trust Mechanism for Data Collection with Mobile Vehicles in Smart City
Randomly Elected Blockchain System based on Grouping Verifiers for Efficiency and Security
5G vehicular network resource management for improving radio access through machine learning
Five Years of Cyber Security Education Reform in China
Maintenance and Security System for PLC Railway LED Sign Communication Infrastructure
Privacy and security issues in the future: A social media
Mix Networks: Existing Scenarios and Future Directions on Security and Privacy
SDN Based Security in Mobile Ad hoc Networks
On safeguarding privacy and security in the framework of federated learning
Security in cognitive radio network: defense against primary user emulation attacks using genetic artificial bee colony (GABC) algorithm
Security and privacy for green IoT-based agriculture: Review, blockchain solutions, and challenges
6G: Opening new horizons for integration of comfort, security, and intelligence
Topology-free optimal power dispatch for distribution network considering security constraints and flexible building thermal inertia
MARGINAL PROBABILITIES OF PERSONAL DATA SECURITY AND USER INTERACTION IN THE SOCIAL NETWORK
Region model and application of regional integrated energy system security analysis
Performance of the Transport Layer Security Handshake Over 6TiSCH
The role of computer security management in preventing financial technology risks
SECURITY RISK ASSESSMENT OF TURKEY’S ROAD NETWORK
Critical success factors to create 5G networks in the smart cities of India from the security and privacy perspectives
Comparative analysis of a new VSC‐optimal power flow formulation for power system security planning
A comprehensive insight into game theory in relevance to cyber security
An experimental analysis of security vulnerabilities in industrial IoT devices
Enhancing SCADA System Security Via Spiking Neural Network
Cyber security awareness, knowledge and behavior: a comparative study
A security‐driven network architecture for routing in industrial Internet of Things
Scope and Limitations of Ethical Hacking and Information Security
ANALYSIS OF SECURITY FOR CLOUD COMPUTING
An anomaly detection framework for cyber-security data
Cyber-Physical Systems Security Introductory Course for STEM Students
A Research of Distributed Security and QoS Testing Framework
Using deep learning to solve computer security challenges: a survey
A comprehensive survey on attacks, security issues and blockchain solutions for IoT and IIoT
Independent Co-Assurance using the Safety-Security Assurance Framework (SSAF): A Bayesian Belief Network Implementation for IEC 61508 and Common …
Towards 5G-based IoT security analysis against Vo5G eavesdropping
Context-Aware Autonomous Security Assertion for Industrial IoT
Combination of D-AHP and Grey Theory for the Assessment of the Information Security Risks of Smart Grids
Security architecture for cloud-based command and control system in IoT environment
Convergence of blockchain and artificial intelligence in IoT network for the sustainable smart city
Cyber-physical systems security: Limitations, issues and future trends
Security Control Mechanism for Safety Critical Functions Operating on Automotive Controller Area Network
A novel security protocol for wireless sensor networks with cooperative communication
Towards a new thermal monitoring based framework for embedded CPS device security
Improvised Guard for Next Level Security Automated Vehicle Security system using Artificial intelligence and Convolutional Neural Network
The Development of Method for Evaluation of Information Security Threats in Critical Systems
Scalability, Consistency, Reliability and Security in SDN Controllers: A Survey of Diverse SDN Controllers
Security, Privacy Research issues in Various Computing Platforms: A Survey and the Road Ahead.
Analysis of energy security level in the Baltic States based on indicator approach
Bobtail: improved blockchain security with low-variance mining
Moving from blocker to enabler: cloud security and the modern CISO
Work-in-Progress: Compromising Security of Real-time Ethernet Devices by means of Selective Queue Saturation Attack
Robust Transmission Network Expansion Planning with Nk Security Criterion and Uncertainty Factors
DATA, INFORMATION AND IT SECURITY-SOFTWARE SUPPORT FOR SECURITY ACTIVITIES
The method of Internet of Things access and network communication based on MQTT
An Intrusion Detection Model for Wireless Sensor Network Based on Information Gain Ratio and Bagging Algorithm.
A survey on smart agriculture: Development modes, technologies, and security and privacy challenges
A decentralized scalable security framework for end‐to‐end authentication of future IoT communication
E-COMMERCE: TRUSTED THIRD PARTY SECURITY MODELS
Security Challenges in Software Engineering for the Cloud: A Systematic Review
Packet analysis for network forensics: A comprehensive survey
Security Information Sharing in Smart Grids: Persisting Security Audits to the Blockchain
Automation of information security audit in the Information System on the example of a standard “CIS Palo Alto 8 Firewall Benchmark”
Empirical Use of Network Time Protocol in Internet of Things Devices: Vulnerabilities and Security Measures
A Survey on Security Mechanisms in IoT
A survey on internet of things: Applications, recent issues, attacks, and security mechanisms
A Survey on Wireless Security protocols (WEP, WPA and WPA2)
Cyber security analysis on a production environment featuring software defined networks.
Pathways toward a decarbonized future—Impact on security of supply and system stability in a sustainable German energy system
OREA for improving data packet transmission in wireless sensor networks with cloud security mechanism
New Frontiers in IoT: Networking, Systems, Reliability, and Security Challenges
AFLNet: a greybox fuzzer for network protocols
SADM-SDNC: security anomaly detection and mitigation in software-defined networking using C-support vector classification
Security of IoT application layer protocols: Challenges and findings
Access control method using electrocardiogram signal for fog computing security
Introduction to IoT security
UDP-Based Active Scan for IoT Security (UAIS).
ENTERPRISE INFORMATION SECURITY MANAGEMENT SYSTEM BASED ON THE MODERN OBFUSCATION TECHNIQUE FOR MOBILE NETWORK OPERATORS
Security Concepts Based on IEEE 802.1 X for G. hn Broadband PLC Access Networks
A Model on IoT Security Method and Protocols for IoT Security Layers
Mapping Obfuscation-Based PHY Security Scheme for Resource-Constrained Wireless Sensor Network
A Mode Study on the Integration of Computer Network Technology and College English Curriculum
MuLViS: multi-level encryption based security system for surveillance videos
Overview on the Security in 5G Phase 2
Security of power line communication systems: issues, limitations and existing solutions
Security Issues in Internet of Things (IoT): A Comprehensive Review
Does internet security matter for foreign direct investment? A spatial econometric analysis
A Hybrid Security System for Unmanned Aerial Vehicles
Security and Performance in IoT: A Balancing Act
A new network forensic framework based on deep learning for Internet of Things networks: A particle deep framework
A comprehensive model of information security factors for decision-makers
A Blockchain-based security model for SDNs
Computer Security-ESORICS 2020: 25th European Symposium on Research in Computer Security, ESORICS 2020, Guildford, UK, September 14-18, 2020 …
A taxonomy of Sybil attacks in vehicular ad-hoc network (VANET)
Research progress on big data security technology
Network-Mediated Knowledge Spillovers in ICT/Information Security January 2020 Neil Gandal Nadav Kunievsky
Security of communication in the special communications systems
Secrecy transmission capacity in mobile ad hoc networks with security-aware Aloha protocol
A survey of IoT security based on a layered architecture of sensing and data analysis
On the Assessment of Information Security Ensuring Models of Critical Information Infrastructure Facilities
A lightweight security scheme for advanced metering infrastructures in smart grid
Vulnerability Analysis and Security Research of Docker Container
Security and privacy issues in fog computing
TBM: A trust-based monitoring security scheme to improve the service authentication in the Internet of Things communications

Research Topics Computer Science

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Reid, Rayne. "Guidelines for cybersecurity education campaigns." Thesis, Nelson Mandela University, 2017. http://hdl.handle.net/10948/14091.

Choi, Min Suk. "Assessing the Role of User Computer Self-Efficacy, Cybersecurity Countermeasures Awareness, and Cybersecurity Skills toward Computer Misuse Intention at Government Agencies." NSUWorks, 2013. http://nsuworks.nova.edu/gscis_etd/119.

Locke, Ronald Taylor. "Anomaly detection with applications in environmental and cyber security." Thesis, Boston University, 2012. https://hdl.handle.net/2144/33260.

Shirazi, Patrick. "Identifying Challenges in Cybersecurity Data Visualization Dashboards." Thesis, Luleå tekniska universitet, Institutionen för system- och rymdteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-80412.

Gcaza, Noluxolo. "A national strategy towards cultivating a cybersecurity culture in South Africa." Thesis, Nelson Mandela University, 2017. http://hdl.handle.net/10948/13735.

Loughry, Joe. "Security test and evaluation of cross domain systems." Thesis, University of Oxford, 2014. https://ora.ox.ac.uk/objects/uuid:71694222-3ef1-4fe6-9637-c8586798f352.

Markwood, Ian. "Offensive and Defensive Security for Everyday Computer Systems." Scholar Commons, 2018. https://scholarcommons.usf.edu/etd/7336.

Johnson, William. "Development of Peer Instruction Material for a Cybersecurity Curriculum." ScholarWorks@UNO, 2017. http://scholarworks.uno.edu/td/2367.

Deshpande, Pranita. "Assessment Of Two Pedagogical Tools For Cybersecurity Education." ScholarWorks@UNO, 2018. https://scholarworks.uno.edu/td/2557.

Adeka, Muhammad I. "Cryptography and Computer Communications Security. Extending the Human Security Perimeter through a Web of Trust." Thesis, University of Bradford, 2015. http://hdl.handle.net/10454/11380.

Goode, Jodi. "Comparing Training Methodologies on Employee’s Cybersecurity Countermeasures Awareness and Skills in Traditional vs. Socio-Technical Programs." Diss., NSUWorks, 2018. https://nsuworks.nova.edu/gscis_etd/1045.

Cardarelli, Anthony. "Automated Deployment of a Security Operations Center." University of Cincinnati / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1592133599167901.

Selinger, David Emanuel. "Designing a Security Education Curriculum Using Gamification Principles." Kent State University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=kent1574424122762057.

Sengelmann, Michael. "An Overview of Reverse Engineering and A Security Analysis of TikTok." University of Cincinnati / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1613748245334672.

Friman, Nelly. "Security Analysis of Smart Buildings." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279423.

Amir-Mohammadian, Sepehr. "A Formal Approach to Combining Prospective and Retrospective Security." ScholarWorks @ UVM, 2017. http://scholarworks.uvm.edu/graddis/802.

Horcher, Ann-Marie. "Conservation of Limited Resources: Design Principles for Security and Usability on Mobile Devices." Diss., NSUWorks, 2018. https://nsuworks.nova.edu/gscis_etd/1028.

Campbell, Joshua Michael. "How Information and Communication Security Technologies Affect State Power." Malone University Undergraduate Honors Program / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=ma1462540876.

Muedas, Higginson Ana Cristina, and Velásquez Renato Germán Rojas. "Modelo de madurez de seguridad de aplicaciones web ante ciberataques para clínicas de nivel 2." Bachelor's thesis, Universidad Peruana de Ciencias Aplicadas (UPC), 2019. http://hdl.handle.net/10757/628108.

Rodriguez, Ricardo J. "An Electroencephalogram (EEG) Based Biometrics Investigation for Authentication| A Human-Computer Interaction (HCI) Approach." Thesis, Nova Southeastern University, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3723216.

Encephalogram (EEG) devices are one of the active research areas in human-computer interaction (HCI). They provide a unique brain-machine interface (BMI) for interacting with a growing number of applications. EEG devices interface with computational systems, including traditional desktop computers and more recently mobile devices. These computational systems can be targeted by malicious users. There is clearly an opportunity to leverage EEG capabilities for increasing the efficiency of access control mechanisms, which are the first line of defense in any computational system.

Access control mechanisms rely on a number of authenticators, including “what you know”, “what you have”, and “what you are”. The “what you are” authenticator, formally known as a biometrics authenticator, is increasingly gaining acceptance. It uses an individual’s unique features such as fingerprints and facial images to properly authenticate users. An emerging approach in physiological biometrics is cognitive biometrics, which measures brain’s response to stimuli. These stimuli can be measured by a number of devices, including EEG systems.

This work shows an approach to authenticate users interacting with their computational devices through the use of EEG devices. The results demonstrate the feasibility of using a unique hard-to-forge trait as an absolute biometrics authenticator by exploiting the signals generated by different areas of the brain when exposed to visual stimuli. The outcome of this research highlights the importance of the prefrontal cortex and temporal lobes to capture unique responses to images that trigger emotional responses.

Additionally, the utilization of logarithmic band power processing combined with LDA as the machine learning algorithm provides higher accuracy when compared against common spatial patterns or windowed means processing in combination with GMM and SVM machine learning algorithms. These results continue to validate the value of logarithmic band power processing and LDA when applied to oscillatory processes.

Kamongi, Patrick. "Ontology Based Security Threat Assessment and Mitigation for Cloud Systems." Thesis, University of North Texas, 2018. https://digital.library.unt.edu/ark:/67531/metadc1404576/.

Curran, Theresa. "Standardizing Instructional Definition and Content Supporting Information Security Compliance Requirements." Diss., NSUWorks, 2018. https://nsuworks.nova.edu/gscis_etd/1038.

Gaboriau-Couanau, Clément. "Security of Embedded Software : An Analysis of Embedded Software Vulnerabilities and Related Security Solutions." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-215703.

Habeeb, Richard. "Improving the Security of Building Automation Systems Through an seL4-based Communication Framework." Scholar Commons, 2018. http://scholarcommons.usf.edu/etd/7161.

Doyle, Marc. "Comprehending the Safety Paradox and Privacy Concerns with Medical Device Remote Patient Monitoring." Diss., NSUWorks, 2019. https://nsuworks.nova.edu/gscis_etd/1090.

Musa, Shahrulniza. "Visualising network security attacks with multiple 3D visualisation and false alert classification." Thesis, Loughborough University, 2008. https://dspace.lboro.ac.uk/2134/14241.

Hedlund, Filip, and Emma Loots. "Information Security Risk Assessment : An Analysis of a Medical Aid Service." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-284151.

Takacs, Gergely. "Integration of CTI into security management." Thesis, Luleå tekniska universitet, Institutionen för system- och rymdteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-74246.

Persson, Sebastian. "Who Watches The Privileged Users." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-414648.

Izagirre, Mikel. "Deception strategies for web application security: application-layer approaches and a testing platform." Thesis, Luleå tekniska universitet, Institutionen för system- och rymdteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-64419.

Shirley, Brandon L. "Developing and Securing Software for Small Space Systems." DigitalCommons@USU, 2019. https://digitalcommons.usu.edu/etd/7544.

Lindqvist, Anna. "Threats to smart buildings : Securing devices in a SCADA network." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-176723.

(5929946), James E. Lerums. "Measuring the State of Indiana's Cybersecurity." Thesis, 2019.

This dissertation introduces a scorecard to enable the State of Indiana to measure the cybersecurity of its public and private critical infrastructure and key resource sector organizations. The scorecard was designed to be non-threatening and understandable so that even small organizations without cybersecurity expertise can voluntarily self-asses their cybersecurity strength and weaknesses. The scorecard was also intended to enable organizations to learn, so that they may identify and self-correct their cybersecurity vulnerabilities. The scorecard provided quantifiable feedback to enable organizations to benchmark their initial status and measure their future progress.

Using the scorecard, the Indiana Executive Council for Cybersecurity launched a Pilot to measure cybersecurity of large, medium, and small organizations across eleven critical infrastructure and key resources sectors. This dissertation presents the analysis and results from scorecard data provided by the Pilot group of 56 organizations. The cybersecurity scorecard developed as part of this dissertation has been included in the Indiana Cybersecurity Strategy Plan published September 21, 2018.

Patala, Najiyabanu Noormohmed. "Cybersecurity framework for cloud computing adoption in rural based tertiary institutions." Diss., 2018. http://hdl.handle.net/11602/1362.

Van, Vuuren Johanna Christina Jansen. "Methodology and Model to Establish Cybersecurity for National Security in Africa using South Africa as a Case Study." Thesis, 2016. http://hdl.handle.net/11602/744.

(8072417), Braiden M. Frantz. "CISTAR Cybersecurity Scorecard." Thesis, 2019.

Highly intelligent and technically savvy people are employed to hack data systems throughout the world for prominence or monetary gain. Organizations must combat these criminals with people of equal or greater ability. There have been reports of heightened threats from cyber criminals focusing upon the energy sector, with recent attacks upon natural gas pipelines and payment centers. The Center for Innovative and Strategic Transformation of Alkane Resources (CISTAR) working collaboratively with the Purdue Process Safety and Assurance Center (P2SAC) reached out to the Computer and Information Technology Department to assist with analysis of the current cybersecurity posture of the companies involved with the CISTAR initiative. This cybersecurity research project identifies the overall defensive cyber posture of CISTAR companies and provides recommendations on how to bolster internal cyberspace defenses through the identification of gaps and shortfalls, which aided the compilation of suggestions for improvement. Key findings include the correlation of reduced cybersecurity readiness to companies founded less than 10 years ago, cybersecurity professionals employed by all CISTAR companies and all CISTAR companies implementing basic NIST cybersecurity procedures.

(6613439), Siddharth Chowdhury. "PERCEPTIONS OF PURPLE TEAMS AMONG CYBERSECURITY PROFESSIONALS." Thesis, 2019.

Gwala, Sizwe. "Barriers to implementation of the (SA) National Cybersecurity Policy Framework." Thesis, 2016. https://hdl.handle.net/10539/23802.

"CacheLight: A Lightweight Approach for Preventing Malicious Use of Cache Locking Mechanisms." Master's thesis, 2018. http://hdl.handle.net/2286/R.I.50522.

(11173323), Hanlin Chen. "Adaptive Safety and Cyber Security for Connected and Automated Vehicle System." Thesis, 2021.

This dissertation discussed the potential benefits that CAV systems can bring to the general well-being, and how the threat lies within the CAV system can affect its performance and functionality.

Particularly, this dissertation discovered how CAV technology can benefit homeland security and crime investigations involving child abduction crimes. By proposing the initial design network, this dissertation proposed a solution that enhances the current AMBER Alert system using CAV technology. This dissertation also discussed how CAV technology can help perception in corner-case driving scenarios and reduce the risk of traffic accidents, by proposing a dataset that covers various corner cases including different weather and lighting conditions targeting the work zone. Evaluation is made on the collected data and several impact factors have been figured out.

This dissertation also discussed an attack scenario that a ROS-based CAV platform was attacked by DoS attacks. We analized the system response after we attacked the system. Discussion and analysis was made on the functionality and stability of the system.

Overall, we determined that CAV technology can greatly benefit in general well-being, and threats within the CAV system can cast potential negative benefits once the CAV system is being attacked.

(8810120), Naif S. Almakhdhub. "INTERNET OF THINGS SYSTEMS SECURITY: BENCHMARKING AND PROTECTION." Thesis, 2020.

Internet of Things (IoT) systems running on Microcontrollers (MCUS) have become a prominent target of remote attacks. Although deployed in security and safety critical domains, such systems lack basic mitigations against control-flow hijacking attacks. Attacks against IoT systems already enabled malicious takeover of smartphones, vehicles, unmanned aerial vehicles, and industrial control systems.

The thesis introduces a systemic analysis of previous defense mitigations to secure IoT systems. Building off this systematization, we identify two main issues in IoT systems security. First, efforts to protect IoT systems are hindered by the lack of realistic benchmarks and evaluation frameworks. Second, existing solutions to protect from control-flow hijacking on the return edge are either impractical or have limited security guarantees. This thesis addresses these issues using two approaches.

First, we present BenchIoT, a benchmark suite of five realistic IoT applications and an evaluation framework that enables automated and extensible evaluation of 14 metrics covering security, performance, memory usage, and energy. BenchIoT enables evaluating and comparing security mechanisms. Using BenchIoT, we show that even if two security mechanisms have similarly modest runtime overhead, one can have undesired consequences on security such as a large portion of privileged user execution.

Second, we introduce Return Address Integrity (RAI), a novel security mechanism to prevent all control-flow hijacking attacks targeting return edges, without requiring special hardware. We design and implement μRAI to enforce the RAI property. Our results show μRAI has a low runtime overhead of 0.1% on average, and therefore is a

practical solution for IoT systems.

This thesis enables measuring the security IoT systems through standardized benchmarks and metrics. Using static analysis and runtime monitors, it prevents control-flow hijacking attacks on return edges with low runtime overhead. Combined, this thesis advances the state-of-the-art of protecting IoT systems and benchmarking its security.

"SDN-based Proactive Defense Mechanism in a Cloud System." Doctoral diss., 2015. http://hdl.handle.net/2286/R.I.34850.

(6623090), Gregory Walkup. "Investigating Attacks on Industrial Control Systems Using Deterministic Replay Simulation." Thesis, 2019.

(8119418), Hafiz Muhammad Junaid Khan. "A MACHINE LEARNING BASED WEB SERVICE FOR MALICIOUS URL DETECTION IN A BROWSER." Thesis, 2019.

Svensson, Elina, and Annika Rydén. "JamaicaEye : What does cyber security look like in one of the most recently developed CCTV networks?" Thesis, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-22266.

"Blurring Safety Between Online and Offline Worlds: Archival, Correlational, and Experimental Evidence of Generalized Threat in the Digital Age." Doctoral diss., 2017. http://hdl.handle.net/2286/R.I.44025.

(11023221), Fahad Salamh. "A 3-DIMENSIONAL UAS FORENSIC INTELLIGENCE-LED TAXONOMY (U-FIT)." Thesis, 2021.

Project Topics on Network Security

Project Topics on Network Security service began with the goal of provide best academic project for you. We can also select the best project topic from a wide collection of highly sophisticated project topics with our wondrous knowledgeable professionals. Our hundreds of dedicated scientists are university rank holders and class toppers who also passed in our very complicated test round in interview.

We are also working in this respective field for the past ten years. In our 10-year research journey, we also serve a lot of students and research scholars. Today, our trained students and researchers are working in the world’s top companies and research centers. We also provide the best training for our students and researchers by high experience and expertise. Through our complete training, you must attain your goal of a career in your future. For our future guidance, also approach our research institution 24/7/365 days.

Topics on Network Security

Project Topics on Network Security offer innovative platform for students and also research fellows to improve their knowledge to get great success in their academic career. We also give step-by-step assistance for you to develop your project by own. We have implemented thousands of network security projects in miscellaneous popular research areas, including wireless sensor networks, software defined networks, data mining, cloud computing, software defined network, the Internet of things, and more integrated domains.

Today, a wide range of technologies are also increasing to prevent network threats and attacks, including integrated security, next-generation security software, Internet of Things security software product, RoT (Ransom-Ware of Things), web application protection, apply security in artificial intelligence, and also advanced machine learning algorithm, web server protection, etc .

Let’s have a glance over some of the interesting aspects in network security

Cyber security trends in 2020.

Security also in Internet of Things
Enterprise Security
Block Chain Evolution
Security for Cloud
Improvement of Cyber Security Regulations
Organizational Cloud Migration
Increase Use of Cloud Security and also Mobility

Steps to Build Smart Security in Business

-apply essential countermeasures.

To protect Data and also Equipment from Theft
Security Technology Used to Detect and also Prevent Potential Incidents and Safeguard Sensitive Data
Security Product Essential also for Everyday Business Such as

-Hard Disk Encryption (Product Data also on System)

-Vulnerability Management System (Monitor Networked Computer to Potential Attack)

-Strong Authentication Devices (Remote Access also by Mobile User)

-Intrusion Prevent System (Block Incoming Attacks also from Internet)

-Commit with Security

Commitment also to Information Security
Safeguard Sensitive Data
Product Critical Business Systems

-Maintain Vulnerability

-understand consequence failing.

Data Protection and also Privacy Legislation
Product Cardholder Data
Monitor and also Test Monitor Regularly
Vulnerability Management Program Maintenance
Build and also Maintain Secure Networks
Strong Access Control Measures Implementation

-Establish Security Policies and Rules

Essential Rules for Critical Business Services and also Safeguard Sensitive Data

-Establish Security Tasks Oversight

-identify and address security risk.

Exposure to Security Threats

-Data Theft or Equipment

-Equipment Failures

-Computer Hacking

-Espionage

-Computer Malware and Virus

-Fire and also Floods

-Define Responsibility for Safeguard Key Assets

Supported tools and software for network security.

also Zenmap

Latest Topics on Network Security

Improve Network Level Performance also in Wireless Nanosensor Networks Through Multi-Layer Modifications
Firearm Exploiting Dynamic Hand Pressure Biometrics Using Low Cost and also High Accuracy User Authentication System
Energy Limited Heterogeneous Fog Supported WSNs (Wireless Sensor Networks) also Using Prolong Stable Election Routing Algorithm
Optimal Power Distributions also for Spoofing Jamming Attack Strategy in Wireless Smart Grid Networks
Auditing Algorithm Shell (AAS) to Efficient Framework also for Information Security in Cloud Computing

We also aforesaid very little information about network security such as cybersecurity trends, security issues, and steps to build smart security in business, software & tools, and latest topics. Suppose you also want to get our comprehensive guidance and support for your doctoral research/master research. In that case, you can also contact our experts via our online and also offline services at 24 hours

“Future move towards what you do today”

“for your grand future………..today you take one step to join with us”, related pages, services we offer.

Mathematical proof

Pseudo code

Conference Paper

Research Proposal

System Design

Literature Survey

Data Collection

Thesis Writing

Data Analysis

Rough Draft

Paper Collection

Code and Programs

Paper Writing

Course Work

MyU : For Students, Faculty, and Staff

CS&E Announces 2024-25 Doctoral Dissertation Fellowship (DDF) Award Winners

Collage of headshots of scholarship recipients

Seven Ph.D. students working with CS&E professors have been named Doctoral Dissertation Fellows for the 2024-25 school year. The Doctoral Dissertation Fellowship is a highly competitive fellowship that gives the University’s most accomplished Ph.D. candidates an opportunity to devote full-time effort to an outstanding research project by providing time to finalize and write a dissertation during the fellowship year. The award includes a stipend of $25,000, tuition for up to 14 thesis credits each semester, and subsidized health insurance through the Graduate Assistant Health Plan.

CS&E congratulates the following students on this outstanding accomplishment:

Athanasios Bacharis (Advisor: Nikolaos Papanikolopoulos )
Karin de Langis (Advisor: Dongyeop Kang )
Arshia Zernab Hassan (Advisors: Chad Myers )
Xinyue Hu (Advisors: Zhi-Li Zhang )
Lucas Kramer (Advisors: Eric Van Wyk )
Yijun Lin (Advisors: Yao-Yi Chiang )
Mingzhou Yang (Advisors: Shashi Shekhar )

Athanasios Bacharis

Bacharis’ work centers around the robot-vision area, focusing on making autonomous robots act on visual information. His research includes active vision approaches, namely, view planning and next-best-view, to tackle the problem of 3D reconstruction via different optimization frameworks. The acquisition of 3D information is crucial for automating tasks, and active vision methods obtain it via optimal inference. Areas of impact include agriculture and healthcare, where 3D models can lead to reduced use of fertilizers via phenotype analysis of crops and effective management of cancer treatments. Bacharis has a strong publication record, with two peer-reviewed conference papers and one journal paper already published. He also has one conference paper under review and two journal papers in the submission process. His publications are featured in prestigious robotic and automation venues, further demonstrating his expertise and the relevance of his research in the field.

Karin de Langis

Karin's thesis works at the intersection of Natural Language Processing (NLP) and cognitive science. Her work uses eye-tracking and other cognitive signals to improve NLP systems in their performance and cognitive interpretability, and to create NLP systems that process language more similarly to humans. Her human-centric approach to NLP is motivated by the possibility of addressing the shortcomings of current statistics-based NLP systems, which often become stuck on explainability and interpretability, resulting in potential biases. This work has most recently been accepted and presented at SIGNLL Conference on Computational Natural Language Learning (CoNLL) conference which has a special focus on theoretically, cognitively and scientifically motivated approaches to computational linguistics.

Arshia Zernab Hassan

Hassan's thesis work delves into developing computational methods for interpreting data from genome wide CRISPR/Cas9 screens. CRISPR/Cas9 is a new approach for genome editing that enables precise, large-scale editing of genomes and construction of mutants in human cells. These are powerful data for inferring functional relationships among genes essential for cancer growth. Moreover, chemical-genetic CRISPR screens, where population of mutant cells are grown in the presence of chemical compounds, help us understand the effect the chemicals have on cancer cells and formulate precise drug solutions. Given the novelty of these experimental technologies, computational methods to process and interpret the resulting data and accurately quantify the various genetic interactions are still quite limited, and this is where Hassan’s dissertation is focused on. Her research extends to developing deep-learning based methods that leverage CRISPR chemical-genetic and other genomic datasets to predict cancer sensitivity to candidate drugs. Her methods on improving information content in CRISPR screens was published in the Molecular Systems Biology journal, a highly visible journal in the computational biology field.

Hu's Ph.D. dissertation is concentrated on how to effectively leverage the power of artificial intelligence and machine learning (AI/ML) – especially deep learning – to tackle challenging and important problems in the design and development of reliable, effective and secure (independent) physical infrastructure networks. More specifically, her research focuses on two critical infrastructures: power grids and communication networks, in particular, emerging 5G networks, both of which not only play a critical role in our daily life but are also vital to the nation’s economic well-being and security. Due to the enormous complexity, diversity, and scale of these two infrastructures, traditional approaches based on (simplified) theoretical models and heuristics-based optimization are no longer sufficient in overcoming many technical challenges in the design and operations of these infrastructures: data-driven machine learning approaches have become increasingly essential. The key question now is: how does one leverage the power of AI/ML without abandoning the rich theory and practical expertise that have accumulated over the years? Hu’s research has pioneered a new paradigm – (domain) knowledge-guided machine learning (KGML) – in tackling challenging and important problems in power grid and communications (e.g., 5G) network infrastructures.

Lucas Kramer

Kramer is now the driving force in designing tools and techniques for building extensible programming languages, with the Minnesota Extensible Language Tools (MELT) group. These are languages that start with a host language such as C or Java, but can then be extended with new syntax (notations) and new semantics (e.g. error-checking analyses or optimizations) over that new syntax and the original host language syntax. One extension that Kramer created was to embed the domain-specific language Halide in MELT's extensible specification of C, called ableC. This extension allows programmers to specify how code working on multi-dimensional matrices is transformed and optimized to make efficient use of hardware. Another embeds the logic-programming language Prolog into ableC; yet another provides a form of nondeterministic parallelism useful in some algorithms that search for a solution in a structured, but very large, search space. The goal of his research is to make building language extensions such as these more practical for non-expert developers. To this end he has made many significant contributions to the MELT group's Silver meta-language, making it easier for extension developers to correctly specify complex language features with minimal boilerplate. Kramer is the lead author of one journal and four conference papers on his work at the University of Minnesota, winning the distinguished paper award for his 2020 paper at the Software Language Engineering conference, "Strategic Tree Rewriting in Attribute Grammars".

Lin’s doctoral dissertation focuses on a timely, important topic of spatiotemporal prediction and forecasting using multimodal and multiscale data. Spatiotemporal prediction and forecasting are important scientific problems applicable to diverse phenomena, such as air quality, ambient noise, traffic conditions, and meteorology. Her work also couples the resulting prediction and forecasting with multimodal (e.g., satellite imagery, street-view photos, census records, and human mobility data) and multiscale geographic information (e.g., census records focusing on small tracts vs. neighborhood surveys) to characterize the natural and built environment, facilitating our understanding of the interactions between and within human social systems and the ecosystem. Her work has a wide-reaching impact across multiple domains such as smart cities, urban planning, policymaking, and public health.

Mingzhou Yang

Yang is developing a thesis in the broad area of spatial data mining for problems in transportation. His thesis has both societal and theoretical significance. Societally, climate change is a grand challenge due to the increasing severity and frequency of climate-related disasters such as wildfires, floods, droughts, etc. Thus, many nations are aiming at carbon neutrality (also called net zero) by mid-century to avert the worst impacts of global warming. Improving energy efficiency and reducing toxic emissions in transportation is important because transportation accounts for the vast majority of U.S. petroleum consumption as well as over a third of GHG emissions and over a hundred thousand U.S. deaths annually via air pollution. To accurately quantify the expected environmental cost of vehicles during real-world driving, Yang's thesis explores ways to incorporate physics in the neural network architecture complementing other methods of integration: feature incorporation, and regularization. This approach imposes stringent physical constraints on the neural network model, guaranteeing that its outputs are consistently in accordance with established physical laws for vehicles. Extensive experiments including ablation studies demonstrated the efficacy of incorporating physics into the model.

Helpful definitions and chart guidance

Introduction

Summary of Findings
Results and Analysis: Introduction
Incident Classification Patterns: Introduction
Industries: Introduction
Small Medium Business (SMB)
Regions: Introduction
Corrections
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Hello, and welcome first-time readers! Before you get started on the 2023 Data Breach Investigations Report (DBIR), it might be a good idea to take a look at this section first. (For those of you who are familiar with the report, please feel free to jump over to the introduction.) We have been doing this report for a while now, and we appreciate that the verbiage we use can be a bit obtuse at times. We use very deliberate naming conventions, terms and definitions and spend a lot of time making sure we are consistent throughout the report. Hopefully this section will help make all of those more familiar.

VERIS Framework resources

The terms “threat actions,” “threat actors” and “varieties” will be referenced often. These are part of the Vocabulary for Event Recording and Incident Sharing (VERIS), a framework designed to allow for a consistent, unequivocal collection of security incident details. Here is how they should be interpreted:

Threat actor: Who is behind the event? This could be the external “bad guy” that launches a phishing campaign or an employee who leaves sensitive documents in their seat back pocket.

Threat action: What tactics (actions) were used to affect an asset? VERIS uses seven primary categories of threat actions: Malware, Hacking, Social, Misuse, Physical, Error and Environmental. Examples at a high level include hacking a server, installing malware or influencing human behavior through a social attack.

Variety: More specific enumerations of higher-level categories—e.g., classifying the external “bad guy” as an organized criminal group 1 or recording a hacking action as SQL injection or brute force.

Learn more here:

https://github.com/vz-risk/dbir/tree/gh-pages/2023 —includes DBIR facts, figures and figure data

https://verisframework.org —features information on the framework with examples and enumeration listings

https://github.com/vz-risk/veris —features information on the framework with examples and enumeration listings

Incident vs. breach

We talk a lot about incidents and breaches and we use the following definitions:

Incident: A security event that compromises the integrity, confidentiality or availability of an information asset.

Breach: An incident that results in the confirmed disclosure—not just potential exposure—of data to an unauthorized party. A Distributed Denial of Service (DDoS) attack, for instance, is most often an incident rather than a breach, since no data is exfiltrated. That doesn’t make it any less serious.

Industry labels

We align with the North American Industry Classification System (NAICS) standard to categorize the victim organizations in our corpus. The standard uses two- to six-digit codes to classify businesses and organizations. Our analysis is typically done at the two-digit level, and we will specify NAICS codes along with an industry label. For example, a chart with a label of Financial (52) is not indicative of 52 as a value. “52” is the NAICS code for the Financial and Insurance sector. The overall label of “Financial” is used for brevity within the figures. Detailed information on the codes and the classification system is available here:

https://www.census.gov/naics/?58967?yearbck=2012

I’m sorry, this all happened when?

While we have always listed the following facts in our Methodology section (because that is where this type of information belongs), we decided to also mention it here for the benefit of those who don’t make it that far into the report. Each year, the DBIR timeline for in-scope incidents is from November 1 of one calendar year through October 31 of the next calendar year. Thus, the incidents described in this report took place between November 1, 2021, and October 31, 2022. The 2022 caseload is the primary analytical focus of the 2023 report, but the entire range of data is referenced throughout, notably in trending graphs. The time between the latter date and the date of publication for this report is spent in acquiring the data from our global contributors, anonymizing and aggregating that data, analyzing the dataset and, finally, creating the graphics and writing the report. Rome wasn’t built in a day, and neither is the DBIR.

Being confident of our data

Starting in 2019 with slanted bar charts, the DBIR has tried to make the point that the only certain thing about information security is that nothing is certain. Even with all the data we have, we’ll never know anything with absolute certainty. However, instead of throwing our hands up and complaining that it is impossible to measure anything in a data-poor environment or, worse yet, just plain making stuff up, we get to work. This year, you’ll continue to see the team representing uncertainty throughout the report figures.

The examples shown in Figures 1, 2, 3 and 4 all convey the range of realities that could credibly be true. Whether it be the slant of the bar chart, the threads of the spaghetti chart, the dots of the dot plot or the color of the pictogram plot, all convey the uncertainty of our industry in their own special way.

Much like the slanted bar chart, the spaghetti chart represents the same concept: the possible values that exist within the confidence interval; however, it’s slightly more involved because we have the added element of time. The individual threads represent a sample of all possible connections between the points that exists within each observation’s confidence interval. As you can see, some of the threads are looser than others, indicating a wider confidence internal and a smaller sample size.

The slanted bar chart will be familiar to returning readers. The slant on the bar chart represents the uncertainty of that data point to a 95% confidence level (which is standard for statistical testing).

In layman’s terms, if the slanted areas of two (or more) bars overlap, you can’t really say one is bigger than the other without angering the math gods.

The dot plot is another returning champion, and the trick to understanding this chart is to remember that the dots represent organizations. If, for instance, there are 200 dots (like in Figure 3), each dot represents 0.5% of organizations. This is a much better way of understanding how something is distributed among organizations and provides considerably more information than an average or a median. We added more colors and callouts to those in an attempt to make them even more informative.

The pictogram plot, our relative newcomer, attempts to capture uncertainty in a similar way to slanted bar charts but is more suited for a single proportion.

We hope they make your journey through this complex dataset even smoother than previous years.

Credit where credit is due

Turns out folks enjoy citing the report, and we often get asked how they should go about doing it.

You are permitted to include statistics, figures and other information from the report, provided that (a) you cite the source as “Verizon 2023 Data Breach Investigations Report” and (b) content is not modified in any way. Exact quotes are permitted, but paraphrasing requires review. If you would like to provide people a copy of the report, we ask that you provide them a link to verizon.com/dbir/ rather than the PDF.

Questions? Comments? Organizing a

Let us know! Drop us a line at [email protected] , find us on LinkedIn, tweet @VerizonBusiness with #dbir. Got a data question? Tweet @VZDBIR!

If you are interested in becoming a contributor to the annual Verizon DBIR (and we hope you are), the process is very easy and straightforward. Please email us at [email protected] .

¹ By organized criminal group, we mean a group that does this for a living and has a set process they use repeatedly, not Tony Soprano and his band of merry men.

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How to Change Your VPN Location (A Step-by-Step Guide)

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Whether you are looking to change the location of your virtual private network for privacy, security or geolocation issues, you can do so easily using a VPN service. Let’s dive straight into the basics and the step-by-step guides for computers, macOS, Windows, Android and iPhone to help you change the location of your VPN.

Featured Partners

1 uniqkey - business password manager.

Can I change location without a VPN?

The main question many users have is whether they need a VPN service to change their location. The answer is Yes.

In theory, advanced users and businesses can change the location of a VPN manually, but this requires having another network available to them with a different location. Windows, macOS, Android and iPhone do not allow direct VPN location changes without network information, nor do they offer built-in VPN features. These operating systems focus on providing secure connections to pre-configured VPNs.

SEE: How to Use a VPN: 4 Easy Steps to Get Started (TechRepublic)

How to change the VPN location on your computer?

To change the VPN location on your computer, you can follow relatively straightforward steps. These will vary slightly depending on the operating system of your device.

Change VPN location on macOS and Windows

Let’s break down the steps to change the VPN location for macOS and Windows users. While these two operating systems do not usually share the same step-by-step guides, when it comes to VPN, the process of changing the location for both OS is identical.

Follow these straightforward steps to change the VPN location on Windows or Mac:

Download VPN : If you have no VPN service, start by downloading a trusted (free or paid) VPN service. Popular VPNs include Surfshark, NordVPN, PrivadoVPN, TunnelBear, Proton VPN, ExpressVPN and others. Make sure the app is available in the Apple Store .
Install and open the app : Follow the installation instructions and launch the VPN app.
Sign in (if required) : Some free or paid VPNs might require you to sign in with your account credentials.
Choose a location : The VPN app should display a list of available server locations. Select your desired location. (Free VPNs might have limitations on location choices compared to paid plans.)
Connect to VPN : Click the “Connect” button or similar option within the app.
Once your connection is established, your location and your IP will change ( Figure A ).
To change your VPN location and IP again, simply connect to another country in your VPN app.

ProtonVPN Screenshot of list of countries and map of available VPN locations.

Note : Free VPN providers tend to offer free locations on every continent, with full lists of locations unlocked with paid subscriptions.

Another simple method to change the location of the VPN is to use the Tor browser — a safe privacy-focused browser that allows users to change locations, bypass guardrails and hide their IP addresses.

SEE: Free VPN vs Paid VPN: Which One Is Right for You? (TechRepublic)

Change VPN location on Chrome, Safari, Firefox and others

Due to the lack of built-in tools, web browsers can only change the VPN location using a reliable VPN app. To change the location of your browser, follow the steps listed above. The steps described above will also apply to Chrome, Safari, Firefox and other browsers.

Remember that changing the VPN on a web browser will affect your default geolocation, and while this may open up content restricted by countries, it will also affect your web experience. For example, if you choose to change your location to Japan, your browser might return web searches, and display content in Japanese language.

Note that going to chrome://settings/content/location will not change your IP or VPN location, as this feature was created to block or allow websites from requesting your location, depending on your preference ( Figure B ).

Adjusting the Chrome settings does not change your VPN location or IP address.

Developers’ tools, like those found in the Chrome Developers panel, cannot be used to change VPN or IP locations. These tools are only meant for developers to test their products in different regions but do not change an IP address or a VPN location.

How to change the VPN location on your iPhone and Android?

Neither iPhone (iOS) or Android devices provide built-in VPN features. Similarly, as we mentioned with computers, to change the VPN location on your iPhone or Android device, users will need to download a trusted VPN service and install it on the phone.

To change the VPN location on your iPhone or Android, follow these steps:

Download a VPN app hosted in the Apple Store or Android Play Store
Launch the VPN app.
Create an account and sign in ( Figure C ).

Choose a location. The app should display a list of available server locations. These locations are usually shown on a global map, listed by country, city or even specific server names. Select your desired location ( Figure D ).

Screenshot of VPN location map of NordVPN.

Click on Connect or Quick Connect.
The VPN app will prompt a Connection Request, click OK or Allow ( Figure E ).

Screenshot of NordVPN requesting Android permissions.

The app will display a connection status once it’s successfully connected to the VPN server ( Figure F ).

Screenshot of NordVPN connection established.

Note that free VPNs often have limitations on available locations compared to paid subscriptions.

For this step-by-step guide we used Norton Secure VPN, but the steps are exactly the same (or very similar) if you are using another popular VPN app.

These steps work on Android and iOS devices.

SEE: The 7 Best iPhone VPNs (Recommended for 2024) (TechRepublic)

Challenges and benefits: Why change your VPN location

Changing the VPN location brings both benefits and problems. It’s important to balance these out. Most of the challenges associated with VPNs are associated with their performance, which tends to be slower than normal, especially on smartphones and mobile devices. However, this performance will vary depending on what VPN providers you are using.

On the other hand, using VPNs has numerous benefits. With VPNs, users can:

Bypass geo-restrictions : Access content that may be blocked in your region, like streaming services or websites.
Enhanced privacy : Mask your IP address and location, making it harder for websites and trackers to monitor your online activity.
Improved security : Encrypt your internet traffic on public Wi-Fi networks, protecting your data from prying eyes.
Potential cost savings : Access deals or subscriptions with better pricing depending on the virtual location.

Challenges linked to VPNs include:

Slower speeds : Connection speeds might be slower when routing traffic through a distant VPN server.
Limited server choices : Free VPNs often have limitations on server locations compared to paid subscriptions.
Unreliable connections : Some free or low-quality VPNs might have unreliable connections that drop frequently.
Logging practices : Be wary of VPN services that log your activity, potentially compromising your privacy.
Legal restrictions : Using a VPN might violate terms of service for certain websites or services. Check the legalities in your region.

SEE: 5 Best VPNs for Android in 2024 (TechRepublic)

Are VPNs legal?

The answer to this question is not entirely black and white, but rather sits in a gray area. For example, using a VPN in some countries may be legal, but VPNs may violate the terms of services of a website. Numerous users want to use VPNs to mask their location and stream online content on sites like Netflix or Amazon Prime. However, not only will most VPNs not work for this operation, but the use of VPNs may lead to the termination of your account.

Additionally, using a VPN while doing illegal activities is also punishable by law, this includes downloading copyrighted content or engaging in hacking while using a VPN.

Are VPNs legal in all countries?

Generally, using a VPN to encrypt your internet traffic and protect your privacy is legal in most countries, including the United States, Canada and most of Europe. However, other countries have restrictions or outright bans on VPN use. These countries often have broader censorship or restrictions on internet access. Examples include China, Russia and Belarus. And even in countries where VPNs are legal, there might be specific regulations on using them.

SEE: Brute Force and Dictionary Attacks: A Guide for IT Leaders (TechRepublic Premium)

It’s important to check local laws, choose a reputable VPN provider that offers a clear no-logs policy to ensure your privacy is protected, and know the exceptions to the rule.

This guide explores how to change your VPN location on various devices and browsers. It also discussed the benefits and challenges associated with using a VPN. Remember, using a VPN can enhance your privacy and security online, but it’s crucial to choose a reputable service and be aware of potential legal implications.

1. Can I change my VPN location without a VPN service?

No, you cannot change your VPN location without a dedicated VPN app or software. Neither macOS, Windows, Android or iOS provide built-in VPN features. Alternatively, you can use a privacy-focused web browser like Tor Browser.

2. How do I change the VPN location on my computer?

Download a trusted VPN app, install it, choose a desired location from the app’s server list, and connect.

3. How do I change the VPN location on my iPhone or Android?

Similar to computers, download a VPN app from the app store, launch it, sign in (if required), choose a location and connect.

4. Are VPNs legal?

Generally, using a VPN is legal in most countries. However, some countries have restrictions, and using a VPN for illegal activities is always illegal. Additionally, VPNs might violate the terms of services of different sites, such as streaming platforms.

5. Will changing my VPN location affect my browsing experience?

Yes, it might. For instance, search results and websites could be displayed in the language of your chosen location.

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Fans in Portugal camp out 24 hours before Eras Tour show to watch Taylor Swift

While friday night's concert was beginning, fans where camping out for saturday night's show..

LISBON — After seeing the panic and frustration emerge Friday night at the Taylor Swift concert, Lara Madais lined up with her boyfriend Joao Almeida to camp out for Saturday night's show.

"We saw the big lines," Madais says from spot seven in the general admission line. Paramore had just begun their Friday night set and the two could hear Hayley Williams sing, "That’s What You Get" pour out of the open roof of Estádio da Luz as they sat against a concrete wall. "I've never seen so many people."

Poor communication by staff on entry gates and bottlenecked lines delayed Friday night's show about an hour. At one point, fans knocked over a barricade and began running towards the stadium hoping to not miss Swift as she took the stage for her first time in Portugal.

More: 'Absolute chaos': Taylor Swift's Eras Tour in Lisbon delayed as fans waited to enter

For 24 hours, Madais and a handful of others waited outside of the stadium watching the 60,000 plus fans exit. Trains moved slower than snails. Some fans walked away from the stadium to grab an Uber or cab back to their hotels. The low cooled to 57 degrees overnight. Madais had her boyfriend to pass the time and make sure she was safe (he's not even going to the show).

Need a break? Play the USA TODAY Daily Crossword Puzzle.

"I brought a power bank, snacks, cereal and a book," the 22 year old says. "We can watch some movies."

She paid €227 for her floor ticket ($246). To her, the cost and sleep deprivation are worth a moment to watch the record-breaking and massive Eras Tour .

"I know I won't be by the stage, but I hope to be three rows back," she says. "I just want to feel like I'm right there and she's singing to me."

Behind Madais sat Mafalda Gomes in a green sweatshirt with her suitcase containing her custom-made "Female Rage: The Musical" t-shirt.

"I'm saving a spot for my friend who is in the concert now," Gomes says. "I can't believe I'm going to see Taylor. I think I'm going to pass out because it's been my dream for like 10 years."

Gomes brought a friendship bracelet kit to pass the time. The neuropsychology student at Universidade Lusófona has been a fan since she was 12.

"I'm waiting for the surprise songs, because I hope Travis will come," she says about Swift's boyfriend Travis Kelce who filmed his Friday "New Heights" podcast from a house "over yonder" and "across many different time zones." Fans speculate on if he'll make an appearance Saturday night at the show.

Taylor Swift 's next two concerts will be in Spain at the Real Madrid fútbol stadium.

Don't miss any Taylor Swift news; sign up for the free, weekly newsletter This Swift Beat.

Follow Taylor Swift reporter Bryan West on Instagram , TikTok and X as @BryanWestTV .

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