A collusion detection trust model based on behaviour similarity

Information and Communications Technologies(2013)

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摘要
Although the existing P2P trust models can provide effective resistance to the false recommendation of a single node attack, they general lack effective means of identification and prevention mechanisms to the node collusion attack. In this paper we present the conspiracy group detection model based on behaviour similarity. Both the malicious node detection success rate and normal node false detection rate results show that the model can effectively resist the collusion attack by malicious node set effectively.
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关键词
peer-to-peer technology,normal node false detection rate,collusion detection,behaviour similarity,computer network security,set theory,trusted computing,peer-to-peer,collusion detection trust model,abnormal nodes,P2P trust models,malicious node detection success rate,trust model,peer-to-peer computing,malicious node set,conspiracy group detection model,single node attack
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