Trust model based on similarity measure of vectors in p2p networks

  • Authors:
  • Leitao Guo;Shoubao Yang;Jing Wang;Jinyang Zhou

  • Affiliations:
  • Department of Computer Science, University of Science and Technology of China, Hefei, P.R. China;Department of Computer Science, University of Science and Technology of China, Hefei, P.R. China;Department of Computer Science, University of Science and Technology of China, Hefei, P.R. China;Department of Computer Science, University of Science and Technology of China, Hefei, P.R. China

  • Venue:
  • GCC'05 Proceedings of the 4th international conference on Grid and Cooperative Computing
  • Year:
  • 2005

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Abstract

For the rationality and selfishness of peers, the traditional security schemes can hardly solve the fake services providing and free-ridings in P2P networks. The trust model based on reputation can restrain the malicious behaviors, and avoid malicious peers abusing of resources. However, it suffers much from dishonest feedbacks and strategically altering behaviors of malicious peers. Recurring to the trust model of society network, a trust model based on similarity measure of vectors and a distributed implementation scheme based on R-Chain are proposed. In this model, “time-sensitive factor” has improved the sensitiveness of detecting peers’ behaviors, “service-type factor” and recommendation trust based on similarity measure of vectors have prevented collusion and bad-mouthing among peers. Consequently, theoretic analysis and simulation show that this model is effective and has favorable feasibility of implementation.