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Journal of Cloud Computing

Advances, Systems and Applications

Special Issues - Guidelines for Guest Editors

For more information for Guest Editors, please see our Guidelines

Special Issues - Call for Papers

We welcome submissions for the upcoming special issues of the Journal of Cloud Computing

Computational Intelligence Techniques for Pattern Recognition in Multimedia Data Guest Editors: Mughair Aslam Bhatti, Sibghat Ullah Bazai, Konstantinos E. Psannis Submission deadline:  3 May 2024 

Advanced Blockchain and Federated Learning Techniques Towards Secure Cloud Computing Guest Editors: Yuan Liu, Jie Zhang, Athirai A. Irissappane, Zhu Sun Submission deadline:  30 April 2024

Mobile Edge Computing Meets AI Guest Editors: Lianyong Qi, Maqbool Khan, Qiang He, Shui Yu, Wajid Rafique Submission deadline:  3 May 2024   Blockchain-enabled Decentralized Cloud/Edge Computing Guest Editors: Qingqi Pei, Kaoru Ota, Martin Gilje Jaatun, Jie Feng, Shen Su Submission deadline: 31 st  March 2023

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Aims and scope

The Journal of Cloud Computing: Advances, Systems and Applications (JoCCASA) will publish research articles on all aspects of Cloud Computing. Principally, articles will address topics that are core to Cloud Computing, focusing on the Cloud applications, the Cloud systems, and the advances that will lead to the Clouds of the future. Comprehensive review and survey articles that offer up new insights, and lay the foundations for further exploratory and experimental work, are also relevant.

Published articles will impart advanced theoretical grounding and practical application of Clouds and related systems as are offered up by the numerous possible combinations of internet-based software, development stacks and database availability, and virtualized hardware for storing, processing, analysing and visualizing data. Where relevant, Clouds should be scrutinized alongside other paradigms such Peer to Peer (P2P) computing, Cluster computing, Grid computing, and so on. Thorough examination of Clouds with respect to issues of management, governance, trust and privacy, and interoperability, are also in scope. The Journal of Cloud Computing is indexed by the Science Citation Index Expanded/SCIE. SCI has subsequently merged into SCIE.  

Cloud Computing is now a topic of significant impact and, while it may represent an evolution in technology terms, it is revolutionising the ways in which both academia and industry are thinking and acting. The Journal of Cloud Computing, Advances, Systems and Applications (JoCCASA) has been launched to offer a high quality journal geared entirely towards the research that will offer up future generations of Clouds. The journal publishes research that addresses the entire Cloud stack, and as relates Clouds to wider paradigms and topics.

Chunming Rong, Editor-in-Chief University of Stavanger, Norway

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2022 Citation Impact 4.0 - 2-year Impact Factor 4.4 - 5-year Impact Factor 1.711 - SNIP (Source Normalized Impact per Paper) 0.976 - SJR (SCImago Journal Rank)

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Cloud computing research paper

Related Papers

Venkataravana Nayak

Cloud security is one of most important issues that has attracted a lot of research and development effort in past few years. Particularly, attackers can explore vulnerabilities of a cloud system and compromise virtual machines to deploy further largescale Distributed Denial-of-Service (DDoS).DDoS attacks usually involve early stage actions such as multi-step exploitation, low frequency vulnerability scanning, and compromising identified vulnerable virtual machines as zombies, and finally DDoS attacks through the compromised zombies. Within the cloud system, especially the Infrastructure-as-a-Service (IaaS) clouds, the detection of zombie exploration attacks is extremely difficult. This is because cloud users may install vulnerable applications on their virtual machines. To prevent vulnerable virtual machines from being compromised in the cloud, we propose a multi-phase distributed vulnerability detection, measurement, and countermeasure selection mechanism called NICE, which is bui...

International Journal of Engineering Research and Technology (IJERT)

IJERT Journal

https://www.ijert.org/zombie-avoidance-using-attack-analyzer-in-cloud-environment https://www.ijert.org/research/zombie-avoidance-using-attack-analyzer-in-cloud-environment-IJERTV3IS041961.pdf Cloud Computing refers to On-demand network access to a shared pool of manageable computing resources which are applicable to both software and hardware services. Cloud Computing makes use of available resources on "on-need" basis. Security problem plays the most Significant role in cloud computing. Due to this nature, attackers launch Distributed Denial of Service to make resources unavailable to potential users. Usually, Denial of Service easily attacks the virtual machines as Zombies but it is extremely hard to detect Zombies. In this paper, we have proposed a viable approach to prevent the vulnerable virtual machine from Zombies through multi-phase distributed susceptibility detection, measurement and countermeasure selection mechanism called NICE. This experimental model shows a more secure and reliable network access to reconfigure the virtual network.

https://www.ijert.org/an-efficient-mechanism-for-intrusion-detection-and-prevention-of-zombie-attacks-in-cloud https://www.ijert.org/research/an-efficient-mechanism-for-intrusion-detection-and-prevention-of-zombie-attacks-in-cloud-IJERTV3IS042095.pdf Cloud Computing is an emerging technology in recent trends as it provides several services to user. One of the main objectives of cloud is to provide storage capability of the users. Hence security is the main concern with respect to cloud computing as the users are given access to install various applications and store data in the cloud. Among the various attacks on the cloud, Zombie attack and in particular Distributed Denial of Service (DDoS) is considered loosely in the literature survey. DDoS involves the attacker launching an attack at early stage with multistep exploitation, low-vulnerability scanning and compromising the identified vulnerable virtual machine as zombies and later launching a DDoS through the zombie machines. Detecting such an attack is difficult as the cloud user may install vulnerable application in the virtual machine created for the user's purpose. This survey paper aims at compiling the various mechanism developed so far to provide solutions for the various attacks and we conclude by providing an efficient intrusion detection system to identify zombie machine in particular and avoid the attacker from launching an DDoS attack.

In Cloud System, virtual machine is considered as the security threat. This is because all cloud users install their applications in virtual machines. Particularly, intruders can exploit vulnerability to a cloud system and compromise virtual machines to deploy further large scale types of attack like distributed denial of service (DDOS). Mainly vulnerability arises in infrastructure as a service (laas) cloud where the infrastructure shared by millions of users. To prevent vulnerable virtual machine from being compromised in the cloud, the proposed framework introducing multiphase distributed vulnerability detection measurement and countermeasure selection mechanism. It built an attack graph analytical model which is used for identify the intruders possible way of exploit vulnerability. The model consist information about virtual topology and also about cloud servers. Based on the information provided by the analytical model then the system deploy an appropriate counter measures.

Editor IJCS

GJESR Journal

Cloud computing is getting popular now a days. Use of cloud is increase daily. As in the cloud environment resources such as OS virtual machines, software are shared by billions of users of the cloud. The virtual machines resides on the cloud are more vulnerable to the denial of service attack. If this machines are connected to more achiness then it becomes more dangerous as it harms all cloud network. In the cloud especially infrastructure as a service the detection of denial of service attack is more challenging task. This is due to cloud users can install vulnerable software on the virtual machines. In this paper we have proposed multiphase vulnerability detection in the cloud environment. We have proposed an open flow network program NICE to detect and mitigate the attacks on the virtual machines. NICE is built on the scenario attack graph based model. We have proposed a novel approach to mitigate the attacks in the cloud environment by selecting different countermeasure depending upon the percentages of vulnerability of the virtual machines. Now a days IDS is used to detect the attack in the network by many organizations. In the proposed system we focuses on the distributed denial of service attack in the cloud. Keywords: Cloud computing, Ccenario attack graph, Correlation, Network analyzer, Intrusion, zombies.

Intrusion Detection and Prevention Systems (IDPS) are used: to identify possible attacks, collecting information about them and the trying to stop their occurrence and at last reporting them to the system administrator. These systems are used by some organizations to detect the weaknesses in their security policies, documenting existing attacks and threats and preventing an individual from violating security policies. Because of their advantages these systems became an important part of the security infrastructure in nearly every organization. In a Cloud computing environment, attackers can determine the vulnerabilities in the cloud systems and compromise the virtual machines to set out large scale Distributed Denial-of-Service (DDOS) attack. To avert these virtual machines from concession, we propose a multi-phase solution NICE (Network Intrusion Detection and Countermeasure selection in Virtual Network Systems).

International Journal of Intelligent Engineering and Systems

Hosam El-Sofany

Anh Trần Việt

—Innovation is necessary to ride the inevitable tide of change. The buzzword of 2009 seems to be "cloud computing" which is a futuristic platform to provides dynamic resource pools, virtualization, and high availability and enables the sharing, selection and aggregation of geographically distributed heterogeneous resources for solving large-scale problems in science and engineering. But with this ever developing cloud concept, problems are arising from this ―golden solution‖ in the enterprise arena. Preventing intruders from attacking the cloud infrastructure is the only realistic thing the staff, management and planners can foresee. Regardless of company size or volume and magnitude of the cloud, this paper explains how maneuver IT virtualization strategy could be used in responding to a denial of service attack. After picking up a grossly abnormal spike in inbound traffic, targeted applications could be immediately transferred to virtual machines hosted in another datacenter. We're not reinventing the wheel. We have lots of technology and standardized solutions we can already use to engineer into the stack. We are just introducing them in the way least expected.

IRJET Journal

Clouding Computing is very popular nowadays. It is the on demand availability of computer system resources like data storage and computing program, information or multimedia content. All these data or information is available to different user with the help of internet. The cloud computing architecture in which third party users, virtual machine and cloud service provider are involved for data uploading and downloading with the help of internet. Security of this architecture is the main issue, today's organizations, but there exist many security vulnerabilities. Among all type of security attacks zombie attack is the most dangerous type of attack. This attack decreases the network performance in terms of delay, information and bandwidth consumption. In the zombie attack, some unauthorized user may join the network which spoof data of the authorized user and zombie nodes start communicate with virtual machine on the behalf of authorized user. In this proposed work, the technique based on the strong authentication which has been detecting malicious and unauthorized user from the network on cloud and isolates them from the cloud architecture. There are various techniques, methods and algorithms described in this paper to isolate a zombie attack and other security vulnerabilities at cloud architecture. We discuss the methods for detection and stopping this kind of zombie attack from cloud.

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