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The Fuzzy Comprehensive Evaluation Of The Trust Degree In P2P Networks

Posted on:2009-06-05Degree:MasterType:Thesis
Country:ChinaCandidate:K ZhangFull Text:PDF
GTID:2178360272978041Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
Compared with the traditional C/S structure of network, the P2P network has many advantages, such as cost sharing, the accumulation of resources and interoperability, privacy and anonymity, dynamic advantages, so it has been widely used in various fields. However, P2P's own characteristics lead to that such a mechanism has many hidden safety problems. In order to solve the security issues of the P2P network between node, and many trust model have emerged. Trust issues in the trust model evaluation are the most important element of the P2P network.Based on the trust evaluation methods of existing trust model, study found that the majority of trust evaluation methods considered few issues of nodes, the fuzzy comprehensive evaluation methods also existed shortcomings that weight small factors in the evaluation process almost been ignored. On the basis of a full study of evaluation methods, taking into account the fuzzy features of the relationship of P2P network entities, the paper proposed a new trust evaluation method based on fuzzy integral fuzzy comprehensive evaluation. The method utilized M. Sugen's theories of the fuzzy measure and fuzzy integral, and proposed the definition of the fuzzy measure and fuzzy integral in pure P2P networks, in hybrid P2P networks. The method using fuzzy integral has a good performance in the calculation of trust issues, and provides a new approach for the P2P network security management.Finally, the application of the fuzzy integral method in the evaluation of P2P networks is introduced in this paper. Then a simulation and experimental validation show that the trust fuzzy integral evaluation method is of high reliability in downloading and it avoids the one-sidedness of majority of trust evaluation methods.
Keywords/Search Tags:P2P, Comprehensive evaluation, Fuzzy integral, Trust model
PDF Full Text Request
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