thesis on network security

Top 10 Network Security Thesis Topics

The term network security refers to securing the network from malicious attacks executed by the hackers to gain illegal access to the network, presume the password to exploit the sensitive packets by using the methods of spoofing, eavesdropping, etc.

“Network Security builds a soundproof wall against Eavesdropping.”

It prevents the network from hacker’s intention to harm the network, and securing the messages and message infrastructure that we are using is to share information or sensitive data. The network security tools intend to secure user privacy, network integration and authenticity, controlling access , etc.

“This article focuses on the generalized network attack categories and the role of network solutions to face the issues. It also provides an overview of the network security thesis topics and our approaches towards the effective thesis writing.”

GOALS OF NETWORK SECURITY

• Controlling access
• Reliability and Verification
• Securing the infrastructure of communication

Overall, cryptography and network security main objectives are based on the functions of preventing unauthorized use of the network, DoS attacks, Spoofing or Man-in-the-Middle attacks, Network Traffic Attacks, etc. We provide you with the overall functions of proper network security based on its primary action; the functions will differ.

Here is the overview of the security network as follows:

Overview of Network Security

• Solutions of Side Channel Attacks
• Solutions for Anti-Blocking
• Network Monitoring Mechanisms
• Energy supplied devices offloading
• Pre-computation methods
• Optimizations securing energy-aware
• Adaptations serving dynamic security
• Unauthenticated Relays
• External and internal attacks
• Side channel
• Spoofing / Eavesdropping
• Denial of Service
• Infection of malware
• Deadlock deauthentication

What are the Network Security Threats?

            Risks in network security are very general and prevalent. Packet losses, network damage, reducing the confidence of the network packets are its main intentions. The rising level of the networks that are handling the network threats is accelerating. So the demand for the network security thesis topics deserves to be on the trend-setting level. As the generalization of threats in the network security , threats are also common. Let’s have a look at the types of Network Security Threats.

Types of Network Security Threats

• Attacks of Service Denial: It is a common and continual attack performed by an adversary to get access to the legal network. By this attack, Overloading unauthorized requests to crash the network normal functions.
• Phishing: Its intention is to take valuable information of user login or packets related information 
• Attacks on Transport Security Layer / SSL: These attacks are the general form of threats, which makes the attackers the availability of sensitive data entry and to unencrypted information. This attack is accounted approximately 10% of every examined attack on networks.
• Spoofing Identity attack: In this attack, the regular host appears as the source, when the hackers made required changes to the packet headers. It is known as forging the IP address. The hackers use the intranet to create similar IP addresses of the user with the help of their specially designed program.
• Brute Force Attacks: In the hacker’s domain, this type of attack is a powerful one, where the hackers use the error and trial technique to attack the network security to presume the password of the system. This technique pays the hackers usual way in guessing the password.

The above security threats are the widespread patterns of adversaries. Network security risks and attacks can extremely influence a company’s economic sources, as discussed previously. Many reputed networks (SDN, 5G, and 6G networks) are struggling to secure their privacy over sensitive data. Having theoretical knowledge won’t help you to overcome such a crisis. Thus our developers suggest you some of the practical solutions for network security threats.

Solutions for Network Security Threats

• Proper network security update and maintenance
• Manage / monitor the networks security
• Designing security policies and rules  

By that time, hackers are getting clever. Their malware implantation will dynamically change the source code of the threat, which delays the counteraction to respond to the attack without knowing the source code. A good network solution is needed to protect networks from different types of attacks to tackle this issue. How do you identify the ideal security solution? Here our research team has provided you some characteristic features of a good network solution.

What are the features of good network security model?

• Integration of different solutions : This provides you a strong protection from influential attacks and invasions on networks by integrating all your usage of network solutions and tools.
• Attacks Prevention : This type of network solution prevents the system against vigorous malware attacks and makes the attacker to find difficult to find the system’s source code.
• Continuous Observation and Response : This type of solution continuously monitors the user activity and alerts the user on the spot of its threat detection. This helps the user to prevent the system from attack.
• Detecting and Identifying threats: It helps to address the individual attack components by developing clear understanding of the threats entered into the network and helps in identifying and blocking them.

Though we categorized the various types of solutions, we suggest you that one solution to network security threat is not enough. You can get the different types of solutions from us with various features according to the network type and impact of the threat. But choosing a solution that integrally supports other security tools you bought from other vendors will be the best to implement information security thesis topics . When you are doing thesis in the relevant field, you can master in choosing and implanting the best to your device. Here we provide you some of the top Network Security Thesis Topics.

Network Security Thesis Topics

• Data Security and Privacy
• Protocols and Security Application functional assessments
• NLP for Protection and Ensure Security
• Security based on Artificial Intelligence and ML
• Managing and Recovering Key
• Securing Intellectual Property
• Integrity and Insider Threat Security
• Securing universal computing
• Watermarking and data hiding
• Confidential computing
• Solutions for security threats
• Protocols and Models of security
• Managing security and network
• Hiding of Data and security in Data Mining

Data Collection for Security Attacks Detection

Network security threats are patented to cause monetary loss. The data gathered in a network are used to identify the security threats like vulnerabilities and intrusions . Such data are called the data related to network security. Research Scholars can reach us in developing network security thesis topics based on data collection and detection. We were examining such data aids in identifying the security threats and is often useful in measuring the whole network’s security level. So, according to our technical team, gathering security-related data should be the primary step in detecting attacks . To gather such data in real-time detection, the following are the top datasets suggested by our research team.

Top 10 Datasets for Network Attacks Detection

• Aposemat IoT-23
• CTU-13 Dataset
• Network Data Set and Host Unification
• Datasets Detecting ADFA Intrusion
• Harmful URLs
• Malware Training Sets

Apart from the above-mentioned datasets, we have particularized a few data collecting tools and mechanisms for your reference in network security thesis topics . These are used to capture the network data in massive size with a wide range of collections.

• Online/offline Collecting tools
• Hardware/Software Collecting Tools
• Protocol Collecting Tools
• Collecting Direct/Indirect Tools
• Collecting Active/Passive Tools
• Flow/Packet focused Collection
• Inadequate/adequate collection
• Collection Of External/Internal Nodes
• Collection Of Integrated/Distributed Nodes

Which Method is Useful in Detection of an Attack?

Various Machine Learning algorithms like KNN and SVM are used as Intrusion Detection systems (IDS). The surface for the network attacks is on the rise as the network is multifaceted with successful technologies like cloud computing , IoT, etc. So, the need for predictive and reactive defense is increasing using different types of network simulator . The intrusion detection system is used as the base attack detecting mechanism in all research aspects to bond the gap . Below, we provide you the network security methodologies.

Network Security Methodologies

• Isolating Slices:  Tostop misusing the packets and network vulnerabilities, the procedure of isolating the virtualization and mature cloud (Slices) are used.
• Managing Security: For the fast awareness on the network weak points, integrated management is used for network security
• Security Control: For automated counteraction on blocking threats, event attacks and fast recover assurance, it is important to organize the security strategies properly 
• Analyzing Security: It is used to analyze the security on the basis of big data collection by circulating the several entities as MEC, Fog and RAN for detecting the DDoS attacks.
• Preventing data vulnerability: For securing privacy, network encryption and firewalls, this technology using the access of Network Slice-Specific Authentication and Authorization (NSSAA).  In order to stop data abuse and key negotiation NSSAA have secondary verification to access the original network.
• Securing Slice Control: To assure the confidentiality and integrity, the slice management security functions on the basis of authorization technique and directional verification

Network security threats are targeted attacks to evade the defense mechanisms and the keys that are in place to avoid them. The two main types of network analysis are security and functional metrics . The objectives of each metrics vary according to its function and security as follows,

Network Simulation Performance Evaluation Tools

• Metrics of self- security and protecting privacy
• Metrics of Non-Denial and Verification
• Metrics of integrity and confidentiality
• Metrics of Cost and Non-Destructivity
• Metrics of Productivity and Generalization
• Metrics of flexibility and applicability
• Metrics of Adaptableness and Scalability
• Metrics of Constancy

The above-mentioned metrics have the basic functions to secure the models used in network security. Apart from the mentioned metrics, our teams of developers are experts in framing innovative metrics used to conduct an in-depth analysis of the time taken by the network security models and applications to identify and recover from the attacks performed. Let’s take a look at our objectives of thesis writing.

Our Objectives in thesis writing

• Contemplate Outlining and Structure
• Discovering initiating and maintaining writing approaches
• Concentrate on the writing method
• Constructing set of references to render final thesis
• Recognizing self-management methods to help progression

Along with the ideas that should be discuss inside the thesis chapters, a thesis generally have the power to decide your academic future and the effectiveness of every thesis is a debatable subject when you follow any profession related to your academic field. The practical explanation provided by our technical team will help you to understand the concept better to explain with others and it is notable that we provide you confidential service. Let’s have a look on the best network security thesis topics. For your convenience and clarification on our service, we also provide you the methodologies on how we structuring a dissertation.

WHAT ARE THE IMPORTANT SECTIONS IN THESIS WRITING?

• Abstract covers the significant descriptions about the research topic
• Introduction that describes the remaining chapters, literature review, terms definition, statement of the problem
• Techniques used includes the data structures, algorithms, requirements and specifications
• Chapters in the middle may vary on the chosen project (that discusses the major ideas of the proposed work)
• Conclusions stating the unsolved problems and obtained results by the proposed method

As earlier, we notify you to make use of this opportunity to work with our expert team, providing confidential service, customized research with benchmark references, and on-time service . We have 5000+ happy customers in the relevant research field. As a matter of fact, we provide you practical explanations over the simulators and testbeds used in network security thesis topics . We are glad to extend our support and guidance to introduce you to the various aspects of network security if you are interested.

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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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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

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network security Recently Published Documents

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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 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

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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.

Techsparks provide the following two guidance packages:

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Campus Network Security : Threats, Analysis and Strategies

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Network Security Thesis Topics

      Network Security Thesis Topics is our surprising service with the vision of provide highly confidential research for you to create knowledge revolution among students and research scholars. We provide complete guidance and support for you to implement your dream of research to attain grand scientific achievement in the technological world. And also, we are experts of experts in both the technical and conceptual side.

We also revise hundreds of related research papers to prepare your research thesis with the best quality. Do you want the best guidance also for prepare your thesis yourself? Contact us. We are also ready to provide the best thesis preparation service for you to prepare your network security research proposal by own. Today, we also serve uncountable students and research colleagues all over the world. If you aspire to utilize our Network Security service and get our best guidance, you can immediately approach us.

Our Dedicated Network Topics Service

Problem analysis.

Analyze new problem for your research based on the following:

• Domain Specification
• Definition of Problem
• Bibliography
• Analysis Tool and software

Solution Identification

Find novel solution for identified problems in your research also based on the following:

• Solution for Problem
• Algorithm Procedure
• Design Protocol

Data Analysis

Implementation process

Solution based development carryout in this phase based on the following:

• Language Specification
• Code Implementation
• Algorithm Design
• Implementation Proof
• Error Debugging

Result and Proof

Final outcome of development results in your research also based on the following:

• Results and Graphs
• Statistical Proof
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Support Thesis and Journals

Research Report Preparation stage based on the following:

• Thesis Material Preparation
• Journal Paper Preparation [SCI, SCOPUS and also Normal]
• Journal Publication
• Proof Materials
• Conference Paper Preparation

Network Thesis Topics

     Network Security Thesis Topics provides novel ideas also for you to chosen ground breaking research topics to accomplish your academic research journey with the grand accomplishment.Our certified professionals also train you in each and every stage of your record-breaking research. Research is discovering the knowledge about various technological and scientific concepts to develop highly valuable research emerging in this scientific world .

We have also completed hundreds of networking researches in a vast array of research areas with our 10+ years of experience. And We also provide our admirable support in your project implementation phase with a full practical explanation.  Now, we also discuss some of the important information about network security.

Network Security Concepts

• Malware Analysis
• Network Security Monitoring
• Packet Analysis
• Stegnography
• Cryptography
• Network Resource Security
• Log-file Analysis
• Continuous Security Monitoring
• Privacy and Trust Management
• Computational Intelligence also in Network Security
• Network Defense
• Virus and Worm Analysis
• Security Aware Software Engineering
• Security Ontology and Models
• Endpoint Security Management

Goal of Network Security

• Authentication
• Confidentiality
• Authorization
• Availability
• No-Reputation

Factors to Avoid Security Threats

• Virtual Private Network (Secure Private connections)
• Real-Time Packet Decryption (Malware Filtering)
• Application Filtering or controls (Block Unwanted Applications)
• E-mail Handling (Detect and also Remove Malware)
• Stateful Packet Inspection (Known Malicious Communication)
• Intrusion Detection and Blocks (Detect and also Respond to DoS)
• Deep Packet Inception (Production Against Malware)
• Proxy Service (Block revealing details (IP Address) )
• Circuit Gateways (Block Packets in TCP or UDP Connection)
• Packet Filtering (Against IP Spoofing and also DoS)
• Configuration Management (Network Attack)

Advanced Applications in Information Forensics and Security Application

• Big Data Approach to Banking Monitoring, Alerts and also Decision Making
• Real Time Security Algorithms also for Cyber Security Data
• Robust Malware Detection Framework also for Mobile Based Platform
• Ensuring Patient Privacy given also for IoT Health Data Transmission from Wearable Sensors
• Real Time Security approaches and also Optimal Adaptive Security for their Solution
• Mobile OS and also Forensics
• Detect Android Piggybacked Apps also through Sensitive Sub-Graph Analysis

Network Security Algorithms and Techniques

• Multi-Pattern Hash Binary Hybrid Algorithm
• Hybrid Signature also Based Iterative Disaggregation Algorithm
• Hybrid Algorithm (DES and also IDEA)
• Tree Searching Heuristic Algorithm
• Hybrid cryptographic Algorithm (DES and also AES)
• Visual Cryptography also Based Password Processing Algorithm
• Post Quantum Cryptographic Algorithm
• Hybrid Artificial Intelligence also Based Handover Decision Algorithm
• Path Redundancy Based Security Algorithm
• Elliptic Curve Cryptography Technique
• Hybrid Cryptography (AES, RC6, Blowfish and also BRA)
• Hybrid Quantum Inspired Genetic Algorithm
• Equilibrium also Based Business Intelligence Technique
• BESA Cryptography also in Algorithm
• Hybrid Multi-Agent Discovering Algorithm

Latest Network Security Thesis Topics

• Adaptive Secure Communication in Cooperative Wireless Networks also for Adaptive Secure Transmission
• Maximum Connectivity Based Channel Allocation algorithm also for Medical Applications in Cognitive Wireless Networks
• Hybrid BBO-LP Algorithm with Extracted Time Current Characteristics Curve also for Directional Over-current relays Optimal Coordination
• Anomaly Detection in Internet of Things Sensors Using Accuracy and also Performance Trade-off Analysis Techniques
• Extract Security Key also Using Wireless Link Dynamics in Vehicular Scenarios
• Reach-ability Specifications Using Minimum Resource Commitment also in Discrete Time Linear Setting
• Vehicular Ad Hoc Networks also Using Efficient Anonymous Authentication Scheme with Conditional Privacy Preserving Scheme

      We also previously highlighted some of the important aspects of network security, including the concept of network security, goal of network security, factor to avoid network security, information forensic & network applications, algorithms, techniques, and also latest research topics. For more information, you can also call or send mail within 24 hours.

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Literature Survey

Data Collection

Thesis Writing

Rough Draft

Paper Collection

Code and Programs

Paper Writing

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