SepRep: A novel reputation evaluation model in peer-to-peer networks

Xiaowei Chen*, Kaiyong Zhao, Xiaowen CHU

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

6 Citations (Scopus)


In a heterogeneous peer-to-peer network, different peers provide different qualities of service. It will be very helpful if a peer can identify which peers can provide better services than others. In this paper, we design a novel reputation model which enables any peer to calculate a reputation value for any other peer that reflects the quality of service provided by that peer, so as to differentiate peers providing good quality of service from those peers providing poor service. Furthermore, to overcome the problem of malicious recommenda-tions, we propose an auxiliary trust mechanism which calculates a trust value for each peer. Experimental results show that our reputation model achieves a fast convergence speed, and it is also robust against a large portion of malicious peers that provide fraud recommendations.

Original languageEnglish
Title of host publicationAutonomic and Trusted Computing - 5th International Conference, ATC 2008, Proceedings
Number of pages14
Publication statusPublished - 2008
Event5th International Conference on Autonomic and Trusted Computing, ATC 2008 - Oslo, Norway
Duration: 23 Jun 200825 Jun 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5060 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference5th International Conference on Autonomic and Trusted Computing, ATC 2008

Scopus Subject Areas

  • Theoretical Computer Science
  • Computer Science(all)


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