• DocumentCode
    1845389
  • Title

    FCTrust: A Robust and Efficient Feedback Credibility-Based Distributed P2P Trust Model

  • Author

    Hu, Jianli ; Wu, Quanyuan ; Zhou, Bin

  • Author_Institution
    Sch. of Comput., Nat. Univ. of Defense Technol., Changsha
  • fYear
    2008
  • fDate
    18-21 Nov. 2008
  • Firstpage
    1963
  • Lastpage
    1968
  • Abstract
    The open, sharing and anonymous nature of peer-to-peer (P2P) network has offered opportunities and threats. One feasible way to minimize threats is to establish the reputation-based global trust model. Previous work about the global trust model is almost based on the assumption that the peer with higher trust value will provide more honest feedbacks, and make the quality of feedback of a peer approximately equal to that of service of the peer. However, this is not always true. As for this problem, this paper proposes a robust feedback credibility (FC) based distributed P2P global trust model (FCTrust), used for quantifying and evaluating the trustworthiness of participants. Theoretical analysis and simulation experiments show that, FCTrust has advantages in combating various malicious behaviors such as dishonest feedbacks and collusions, over the current global trust models, and demonstrates more robustness and effectiveness. Moreover, we find more performance gains in convergence speed and message overhead than previous models.
  • Keywords
    peer-to-peer computing; security of data; telecommunication security; feedback credibility-based distributed P2P trust model; peer-to-peer network; reputation-based global trust model; Analytical models; Computer networks; Convergence; Distributed computing; Feedback; Grid computing; Information security; Peer to peer computing; Performance gain; Robustness; P2P; feedback credibility; storage; trust;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Young Computer Scientists, 2008. ICYCS 2008. The 9th International Conference for
  • Conference_Location
    Hunan
  • Print_ISBN
    978-0-7695-3398-8
  • Electronic_ISBN
    978-0-7695-3398-8
  • Type

    conf

  • DOI
    10.1109/ICYCS.2008.444
  • Filename
    4709274