A collusion detection trust model based on behaviour similarity

• Published in: IET Conference Proceedings pp. 241 - 245
• Main Authors: Cai, Guoming, Wang, Miao, Wang, Yadi, Zhou, Yanzhou
• Format: Conference Proceeding
• Language: English
• Published: Stevenage, UK IET 2013; The Institution of Engineering & Technology
• Subjects: Combinatorial mathematics; Computer communications; Computer networks and techniques; Data security; peer-to-peer technology; peer-to-peer computing; P2P trust models; malicious node detection success rate; collusion detection trust model; set theory; computer network security; single node attack; normal node false detection rate; malicious node set; behaviour similarity; trusted computing; conspiracy group detection model
• ISBN: 1849196532; 9781849196536
• DOI: 10.1049/cp.2013.0058

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.