文章基本信息

标题：Mitigating Selective Blackhole Attacker By Using Divergence Metric Based Advanced Intrusion Detection System
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作者：H.Shaleena ; A.Prakash
期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2013
卷号：4
期号：10-3
出版社：Seventh Sense Research Group
摘要：A mobile adhoc network is a group of mobile nodes that does not have the permanent infrastructure. Providing a route from source to destination is a primary problem in MANET because of the random movement of the nodes. An adversary node generates a Blackhole attack and acquire the route from source to destination. We suggest Intrusion detection system which executes Antiblack hole mechanism for detecting the black hole attack. This mechanism calculates the suspicious value of the nodes based on the irregular dissimilarity between the routing messages transmitted from the node. When there is an increase in suspicious value than the threshold value, an intrusion detection system will transmit a block message, inform to all nodes on the network. This intrusion detection system is only identifies the black hole attacks when they occur constantly. But in this system it does not perceive when the node behaves an attacker occasionally. So in order to conquer this trouble, we provide an innovative approach called advanced intrusion detection method which is identifying the selective black hole attack even it is abnormally behaving rarely. This can be accomplished by including the computation divergence of every node behavior. The divergence distribution precisely discover out even very small divergence of normal behavior. In the advanced intrusion detection method we utilize kulback liebler divergence to compute the divergence in node’s behavior.
关键词：MANETs; Selective black hole attack; Intrusion detection system (IDS); Kulback liebler divergence