• DocumentCode
    2179615
  • Title

    Fuzzy Trust for Peer-to-Peer Systems

  • Author

    Griffiths, Nathan ; Chao, Kuo-Ming ; Younas, Muhammad

  • Author_Institution
    University of Warwick, UK
  • fYear
    2006
  • fDate
    04-07 July 2006
  • Firstpage
    73
  • Lastpage
    73
  • Abstract
    Peer-to-peer (P2P) systems are based upon the cooperative interactions of member peers. Typically, peers are both autonomous and self-interested, meaning that there is no hierarchy of control or power, and that individuals seek to maximise their own goal achievement, rather than acting in a benevolent or socially-oriented manner. Consequently, interaction outcomes are uncertain, since peers can break their commitments or provide sub-standard contributions or services. Thus, when a peer cooperates it is entering into an uncertain interaction, that has an associated risk of failure or reduced performance. For peers to be effective they need some mechanism for managing this risk of failure. In this paper we show how peers can use trust to manage this risk. Our model of trust uses fuzzy logic to allow peers to represent and reason with uncertain and imprecise information regarding others’ trustworthiness.
  • Keywords
    Chaotic communication; Collaboration; Computer science; Costs; Distributed computing; Fuzzy logic; Fuzzy systems; Internet telephony; Peer to peer computing; Risk management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Distributed Computing Systems Workshops, 2006. ICDCS Workshops 2006. 26th IEEE International Conference on
  • ISSN
    1545-0678
  • Print_ISBN
    0-7695-2541-5
  • Type

    conf

  • DOI
    10.1109/ICDCSW.2006.57
  • Filename
    1648962