A fuzzy reputation management system with punishment mechanism for P2P network

被引：5

作者：

Hu Z. ^{[1
]}

Lin H. ^{[2
]}

Zhou Y. ^{[3
]}

机构：

[1] The Department of Information Technology, Huazhong Normal University, Wuhan

[2] College of Electronic Engineering, Naval University of Engineering, Wuhan

[3] College of Electrical and Information Engineering, Naval University of Engineering, Wuhan

来源：

Journal of Networks | 2011年 / 6卷 / 02期

关键词：

Fuzzy logic; P2P; Reputation; Trust;

D O I：

10.4304/jnw.6.2.190-197

中图分类号：

学科分类号：

摘要：

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. © 2011 ACADEMY PUBLISHER.

引用

页码：190 / 197

页数：7

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