ISSN: 2321 – 8517 May - August 2014
Journal of
Network Security (JoNS)
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Dr. Adesh Kumar Sharma National Dairy Research Institute (Deemed University), Indian Council of Agriculture, Haryana, India
Dr. B.L. Shivakumar Assoc. Prof., Dept. of Computer Applications, Sri Ramakrishna Engineering College, NGGO Colony Post, Coimbatore, India
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STM JOURNALS
I take the privilege to present the hard copy compilation for the [Volume 2 Issue (2)] Journal of Network Security (JoNS). The intension of JoNS is to create an atmosphere that stimulates creativeness, research and growth in the area of Network Security . The development and growth of the mankind is the consequence of brilliant Research done by eminent Scientists and Engineers in every field. JoNS provides an outlet for Research findings and reviews in areas of Network Security found to be relevant for National and International recent developments & research initiative. The aim and scope of the Journal is to provide an academic medium and an important reference for the advancement and dissemination of Research results that support high level learning, teaching and research in the domain of Network Security . Finally, I express my sincere gratitude and thanks to our Editorial/ Reviewer board and Authors for their continued support and invaluable contributions and suggestions in the form of authoring writeups/ reviewing and providing constructive comments for the advancement of the journals. With regards to their due continuous support and co-operation, we have been able to publish quality Research/Review findings for our customers base. I hope you will enjoy reading this issue and we welcome your feedback on any aspect of the Journal.
Dr. Archana Mehrotra Director STM Journals
Journal of Network Security
Contents
1. Hybrid Model for Adaptive-IDS using Machine Learning Approach V. K. Pachghare, Avinash R. Kshirsagar, Rahul B. Adhao
1
2. A Comprehensive Methodology for Data Security and Privacy in Cloud Computing Systems Abid Hussain Wani
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Journal of Network Security ISSN: 2321-8517 (online) Volume 2, Issue 2 www.stmjournals.com
Hybrid Model for Adaptive-IDS using Machine Learning Approach V. K. Pachghare*, Avinash R. Kshirsagar, Rahul B. Adhao Department of Computer Engineering and IT, College of Engineering, Pune, India Abstract Increasing need and use of internet is encouraging the development of new protocols, applications, services, etc. Even though these new developments are more robust than the previous ones, the network attacks are also emerging and are increasing security threat. The intrusion detection systems are not able to detect all types of attacks, so a solution to this problem is to combine some intrusion detection approaches to cope with the attacks effectively. An adaptive intrusion detection system takes proper decision to detect attacks properly resulting in high accuracy. The experimentation on proposed system which combines four approaches indicates enhanced performance.
Keywords: Intrusion detection, adaptability, machine learning, ensemble
JoNC (2014)Š STM Journals 2014. All Rights Reserved
Journal of Network Security ISSN: 2321-8517 (online) Volume 2, Issue 2 www.stmjournals.com
A Comprehensive Methodology for Data Security and Privacy in Cloud Computing Systems Abid Hussain Wani* Department of Computer Science, South Campus, University of Kashmir, Srinagar, India Abstract Cloud computing encompasses computing with a pool of virtualized computer resources. A cloud provides for self-recovering highly-scalable programming models, workloads to recover from hardware/software failures and rebalance allocations, can host different workloads and allows workloads to be deployed/scaled-out on-demand by rapid provisioning of virtual or physical machines. The idea is to move desktop computing to a service-oriented platform using server clusters and huge databases at data centers. Cloud computing has become a standard method of software operation for many businesses. However, challenges are being faced by both research and professional cloud computing communities on optimized architectures, quality reliability, data security and privacy fronts. Services offered in cloud computing face the overwhelming challenges to ensure the proper physical, logical and personnel security controls, especially when considering the fact that cloud computing moves the application software and databases to the large data centers and in doing so the management of the data and services may not be fully trustworthy. In this paper, the main focus is given to highlight and investigate the data storage from perspective of threats and attacks and potential solution strategies. The paper also proposes an effective and flexible distributed scheme with two salient features, i.e., achieving the integration of storage correctness insurance and data error localization.
Keywords: Cloud computing, security methodology, threats and attacks, storage correctness, distributed storage system security
JoNC (2014) Š STM Journals 2014. All Rights Reserved