A Fuzzy Trust Model with Punishment Mechanism

Author

Lin, Huaiqing ; Hu, Zhengbin ; Zhou, Yonghong

Author_Institution

Coll. of Electron. Eng., Naval Univ. of Eng., Wuhan, China

Volume

2

fYear

2010

fDate

24-25 April 2010

Firstpage

158

Lastpage

161

Abstract

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.

Keywords

belief networks; fuzzy logic; peer-to-peer computing; security of data; P2P system; amplifier of malicious behavior; fuzzy trust model; inauthentic files; peer behaviors; punishment mechanism; recommendation accuracy; recommendation credibility; recommendation weight; reputation systems; security threats; sly malicious peers; trustworthiness; Artificial neural networks; Computer networks; Educational institutions; Fuzzy logic; Fuzzy systems; Information security; Information technology; Peer to peer computing; Predictive models; Wireless communication; fuzzy logic; p2p; reputation; trust;

fLanguage

English

Publisher

ieee

Conference_Titel

Networks Security Wireless Communications and Trusted Computing (NSWCTC), 2010 Second International Conference on

Conference_Location

Wuhan, Hubei

Print_ISBN

978-0-7695-4011-5

Electronic_ISBN

978-1-4244-6598-9

Type

conf

DOI

10.1109/NSWCTC.2010.173

Filename

5480747