• DocumentCode
    2783502
  • Title

    Probability-based trust management model for distributed e-commerce

  • Author

    Dong, Ping ; Wang, Hongchao ; Zhang, Hongke

  • Author_Institution
    Nat. Eng. Lab. for Next Generation Internet Interconnection Device, Beijing Jiaotong Univ., Beijing, China
  • fYear
    2009
  • fDate
    6-8 Nov. 2009
  • Firstpage
    419
  • Lastpage
    423
  • Abstract
    The trust issue in distributed e-commerce systems has attracted much research attention in recent years. Existing e-commerce systems have presented trust management models which provide reputation information to buyers. However, more comprehensive models should be proposed to more precisely predict the trust level of sellers on potential transactions, and to defeat several kinds of possible attacks. This paper makes an effort to design PTME, a probability-based trust management model for distributed e-commerce, which is an attack-resistant trust model for evaluating and propagating reputation in distributed e-commerce systems. In this paper we describe the possible attacks on existing systems. Our model is then proposed to overcome these attacks. We provide a probability-based framework and detail approaches for this model. The performance evaluation and security analysis of PTME are provided to show its effectiveness.
  • Keywords
    distributed processing; electronic commerce; performance evaluation; probability; security of data; attack-resistant trust model; distributed e-commerce systems; performance evaluation; probability-based trust management model; reputation information; security analysis; Bayesian methods; Electronic commerce; Engineering management; Internet; Laboratories; Peer to peer computing; Performance analysis; Predictive models; Risk management; Robustness; e-commerce; probability; trust management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network Infrastructure and Digital Content, 2009. IC-NIDC 2009. IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-4898-2
  • Electronic_ISBN
    978-1-4244-4900-6
  • Type

    conf

  • DOI
    10.1109/ICNIDC.2009.5360968
  • Filename
    5360968