• DocumentCode
    2176837
  • Title

    A Dynamic Self-Adaptive Trust Model for P2P E-Commerce System

  • Author

    Wang, Jie ; Li, Miaomiao ; Yu, Yang ; Huang, Zhenguang

  • Author_Institution
    Dept. of Comput. Sci., Sun Yat-sen Univ., Guangzhou, China
  • fYear
    2010
  • fDate
    11-13 Dec. 2010
  • Firstpage
    415
  • Lastpage
    420
  • Abstract
    P2P e-commerce systems are commonly perceived as an environment offering both opportunities and threats. The existence of malicious peers could damage the correctness and availability of them. One way to minimize such threats is to use trust model to evaluate the trustworthiness of peers. This paper presents a dynamic self-adaptive trust model for p2p e-commerce system - AdaptTrust model, which involves in two kinds of trust, namely direct trust and global reputation. The direct trust from a peer to another peer is calculated based on transaction feedbacks between them. The global reputation of a peer is calculated based on trustworthiness ratings from rating peers to the reference peer. Finally, a series of experiments have been done to verify the effectiveness and resistibility of the proposed trust model.
  • Keywords
    electronic commerce; peer-to-peer computing; security of data; transaction processing; AdaptTrust model; P2P e-commerce system; dynamic self-adaptive trust model; malicious peers; transaction feedbacks; trustworthiness; Adaptation model; Algorithm design and analysis; Biological system modeling; Communities; Computational modeling; Heuristic algorithms; Peer to peer computing; Ecommerce; P2P; Reputation; Trust;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Science and Engineering (CSE), 2010 IEEE 13th International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-9591-7
  • Electronic_ISBN
    978-0-7695-4323-9
  • Type

    conf

  • DOI
    10.1109/CSE.2010.73
  • Filename
    5692510