• DocumentCode
    3427360
  • Title

    A trust rating classification model in P2P resource discovery

  • Author

    Zhao, Jie ; Huang, Wengming ; Liu, Chuangxue

  • Author_Institution
    Sch. of Comput. & Control, Guilin Univ. of Electron. Technol., Guilin, China
  • fYear
    2010
  • fDate
    22-24 Oct. 2010
  • Firstpage
    744
  • Lastpage
    747
  • Abstract
    This paper begins with an analysis of the defects of low efficiency and weak security of P2P network in the resource discovery, followed by the design of a trust rating classification model of vertically hierarchical structure and horizontal sub-domain. On the basis of the model that the all the nodes are divided into different layers vertically and different sub-domains horizontally, a classification algorithm of resource creditability is presented. The simulation experiment shows that this algorithm improves the efficiency and precision and enhances the security in P2P resource discovery.
  • Keywords
    data privacy; pattern classification; peer-to-peer computing; P2P resource discovery; peer-to-peer network; resource creditability classification algorithm; trust rating classification model; Computational modeling; P2P; Resource Discovery; Trusted Certification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Integrated Systems (ICISS), 2010 International Conference on
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-4244-6834-8
  • Type

    conf

  • DOI
    10.1109/ICISS.2010.5657130
  • Filename
    5657130