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