A Fuzzy Trust Model with Punishment Mechanism

One way to minimize threats in P2P system is to exploit reputation to help evaluate the trustworthiness and predict the future behaviors of peers. In this paper, a set of parameters are identified for describing the trust of a peer. And a trust model based on fuzzy techniques is presented. The trust...

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Bibliographic Details
Main Authors: Huaiqing Lin, Zhengbin Hu, Yonghong Zhou
Format: Conference Proceeding
Language:English
Subjects:
Artificial neural networks
Computer networks
Educational institutions
Fuzzy logic
Fuzzy systems
Information security
Information technology
p2p
Peer to peer computing
Predictive models
reputation
trust
Wireless communication
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Summary:One way to minimize threats in P2P system is to exploit reputation to help evaluate the trustworthiness and predict the future behaviors of peers. In this paper, a set of parameters are identified for describing the trust of a peer. And a trust model based on fuzzy techniques is presented. The trust model uses Amplifier of Malicious Behavior (AMB) to intensify malicious behaviors and helps peers identify the sly malicious peers. The recommendation credibility is evaluated by Recommendation Weight (RW) and Recommendation Accuracy (RA). In simulation, this trust model has been shown to improve the efficiency of P2P system by significantly decreasing the number of inauthentic files on the network.
DOI:10.1109/NSWCTC.2010.173