• DocumentCode
    3312272
  • Title

    A Vector-Based Trust Model for P2P E-commerce

  • Author

    Wang, Qian ; Wang, Lifang

  • Author_Institution
    Coll. of Comput. Sci., Chongging Univ., Chongging
  • Volume
    7
  • fYear
    2008
  • fDate
    18-20 Oct. 2008
  • Firstpage
    117
  • Lastpage
    123
  • Abstract
    Many current P2P trust models are not suitable for P2P e-commerce because the characteristics of P2P e-commerce are not taken into account. In addition, the simple representation of trust cannot be used to accurately gain assess to other peers in the e-commerce community because of the diversity and subjectivity of trust. In order to evaluate the peers for each other, this paper developed a vector-based trust model named VBTMod. There are two main features of the model. First, the specialty and complexity of e-commerce are considered and it reflects the characteristics of P2P e-commerce. Second, the trust is expressed with vector, which includes various factors of trust in e-commerce. With this model it is easier to extract useful information from the trust and accurately gain assess to other peers. Accordingly, the paper proposed a few assessment approaches for vector trust and strategies to defend attack. Simulation results show that VBTMod enables peers to have more accurate assessment to other peers according to their own needs and effectively defends a variety of attacks. Consequently the model can effectively reduce the risk in transactions.
  • Keywords
    electronic commerce; feature extraction; peer-to-peer computing; P2P e-commerce; information extraction; risk reduction; vector-based trust model; Bandwidth; Computer science; Data mining; Distributed computing; Educational institutions; Large-scale systems; Peer to peer computing; Security; Time factors; polling; trust; trust model; vector;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation, 2008. ICNC '08. Fourth International Conference on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-0-7695-3304-9
  • Type

    conf

  • DOI
    10.1109/ICNC.2008.616
  • Filename
    4667956