期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2013
卷号：3
期号：11
出版社：S.S. Mishra
摘要：Nowadays all are working with cloud i.e. distributed network over an internet, it is very important to maintain a high level security to ensure safe and trusted communication of information in a distributed network. But secured data communication over internet and distributed network is always under threat o f intrusions and misuses. So Intrusion Detection Systems have become a needful component in terms of network security. For providing security in a distributed system requires more than user authentication with passwo rds 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 co ntrol 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 by using FC-ANN, based on ANN and fuzzy clustering, to so lve the problem and help IDS to achieve higher detection rate, less false positive rate and stronger stability and generate reports efficiently by integrating knowledge and behavior analysis to detect intrusions. To implement and measure the performance of our system we used the KDD99 benchmark dataset and obtained reasonable detection rate
