• DocumentCode
    2096326
  • Title

    Hierarchical Fuzzy Trust Management for Customer-to-Customer in Peer-to-Peer eCommerce

  • Author

    Lin, Huaiqing ; Li, Zhitang ; Zhang, Yejiang ; Lu, Chuiwei

  • Author_Institution
    Coll. of Comput. Sci. & Technol., Huazhong Univ. of Sci. & Technol. Wuhan, Wuhan, China
  • Volume
    2
  • fYear
    2008
  • fDate
    20-22 Dec. 2008
  • Firstpage
    175
  • Lastpage
    179
  • Abstract
    Peer-to-peer (P2P) eCommerce are commonly perceived as an environment offering both opportunities and threats. For peers to be effective they need some mechanism for managing this risk of failure. One way to minimize threats in such an open environment is to exploit reputation to help evaluate the trustworthiness of what and predict the future behaviors of peers. In this study, a set of parameters were identified for describing the trust of a peer and proposes a framework based on a series of underpinning relationships among these factors. In simulation, this trust model has been shown to improve the efficiency of P2P eCommerce system by significantly decreasing the amount of malicious behavior on the network.
  • Keywords
    electronic commerce; fuzzy set theory; peer-to-peer computing; security of data; customer-to-customer; hierarchical fuzzy trust management; peer-to-peer eCommerce; Computer network management; Computer science; Educational institutions; Electronic commerce; Engineering management; Environmental management; Fuzzy logic; Peer to peer computing; Robustness; Technology management; fuzzy logic; peer-to-peer; reputation; trust;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Computational Technology, 2008. ISCSCT '08. International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3746-7
  • Type

    conf

  • DOI
    10.1109/ISCSCT.2008.334
  • Filename
    4731597