The Comprehensive Trust Model in P2P Based on Improved EigenTrust Algorithm

Author

Rao Shen ; Wang Yong ; Tao Xiao-ling

Author_Institution

Network Center, Guilin Univ. of Electron. Technol., Guilin, China

Volume

3

fYear

2010

fDate

13-14 March 2010

Firstpage

822

Lastpage

825

Abstract

According to the problems existing in the EigenTrust algorithm that the considered factors when local trust are little and the trust values are lack of global superiority, We proposed a new FSEM-EigenTrust algorithm based on Fuzzy Synthetic Evaluation Model. In this method, Each trading node was evaluated individually by several factors and these single values were aggregated into weighted sum, the synthetic evaluation value, which is regarded as the local trust value. Through the contrast experiment on EigenTrust, it shows that FSEM-Trust can improved the success rate of trading and enhance the ability of resisting attacks from the malicious nodes in p2p.

Keywords

eigenvalues and eigenfunctions; fuzzy set theory; peer-to-peer computing; security of data; P2P; comprehensive trust model; fuzzy synthetic evaluation model; improved eigentrust algorithm; peer-to-peer network; Automatic control; Automation; Computer networks; Educational institutions; History; IP networks; Load management; Mechatronics; Partitioning algorithms; Peer to peer computing; eigentrust; evaluation model; p2p; trust model;

fLanguage

English

Publisher

ieee

Conference_Titel

Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on

Conference_Location

Changsha City

Print_ISBN

978-1-4244-5001-5

Electronic_ISBN

978-1-4244-5739-7

Type

conf

DOI

10.1109/ICMTMA.2010.221

Filename

5458812