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INTRUSION DETECTION SYSTEM FOR CLOUD COMPUTING
[Full Text]
AUTHOR(S)
Ms. Parag K. Shelke, Ms. Sneha Sontakke, Dr. A. D. Gawande
KEYWORDS
ABSTRACT
Providing security in a distributed system requires more than user authentication with passwords or digital certificates and confidentiality in data transmission. Distributed model of cloud makes it vulnerable and prone to sophisticated distributed intrusion attacks like Distributed Denial of Service (DDOS) and Cross Site Scripting (XSS). To handle large scale network access traffic and administrative control of data and application in cloud, a new multi-threaded distributed cloud IDS model has been proposed. Our proposed cloud IDS handles large flow of data packets, analyze them and generate reports efficiently by integrating knowledge and behavior analysis to detect intrusions.
REFERENCES
[1] Sebastian Roschke, Feng Cheng, Christoph Meinel,“ Intrusion Detection in the Cloud\", Eighth IEEE International Conference on Dependable, Autonomic and Secure Computing, 2009.
[2] Chi-Chun Lo, Chun-Chieh Huang, Joy Ku, “A Cooperative Intrusion Detection System Framework for Cloud Computing Networks\", 39th International Conference on Parallel Processing Workshops, 2010.
[3] Andreas Haeberlen,“ An Efficient Intrusion Detection Model Based on Fast Inductive Learning”, Sixth International Conference on Machine Learning and Cybernetics, Hong Kong, 19-22 August 2007.
[4] Richard Chow, Philippe Golle, Markus Jakobsson, “Controlling Data in the Cloud: Outsourcing Computation without Outsourcing Control”, ACM Computer and Communications Security Workshop, CCSW 09, November 13, 2009.
[5] Kleber, schulter, “Intrusion Detection for Grid and Cloud Computing”, IEEE Journal: IT Professional, 19 July 2010.
[6] Irfan Gul, M. Hussain, “Distributed cloud intrusion detection model”, International Journal of Advanced Science and Technology Vol. 34, September, 2011.
[7] http://en.wikipedia.org/wiki/Cloud_computing.
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