DocumentCode :
638633
Title :
A collusion detection trust model based on behaviour similarity
Author :
Guoming Cai ; Miao Wang ; Yadi Wang ; Yanzhou Zhou
Author_Institution :
Inf. Eng. Univ., Zhengzhou, China
fYear :
2013
fDate :
27-29 April 2013
Firstpage :
241
Lastpage :
245
Abstract :
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.
Keywords :
computer network security; peer-to-peer computing; set theory; trusted computing; P2P trust models; behaviour similarity; collusion detection trust model; conspiracy group detection model; malicious node detection success rate; malicious node set; normal node false detection rate; peer-to-peer technology; single node attack; abnormal nodes; behaviour similarity; collusion detection; peer-to-peer; trust model;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Information and Communications Technologies (IETICT 2013), IET International Conference on
Conference_Location :
Beijing
Electronic_ISBN :
978-1-84919-653-6
Type :
conf
DOI :
10.1049/cp.2013.0058
Filename :
6617501
Link To Document :
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