Chithra Selvaraj and Sheila Anand Outlier detection in reputation management system for P2P networks using rough set theory Security and Communication Networks 6
Reputation trust management systems in peer-to-peer networks trust a peer on the basis of the recommendations about the peer received from all other peers in the form of scores. Malicious peers may give wrong reputation scores and also collude with other peers to make themselves or others appear trustworthy. In this paper, rough set theory, a mathematical tool, is used to detect and eliminate outlier scores in trust computation. The performance of the system has been tested, and the results have shown that the trust computation without outliers would be more accurate in evaluating the trustworthiness of a peer.
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