• DocumentCode
    1796446
  • Title

    Self-nominating trust model based on hierarchical fuzzy systems for peer-to-peer networks

  • Author

    Qiyi Han ; Hong Wen ; Ting Ma ; Bin Wu

  • Author_Institution
    Nat. Key Lab. of Sci. & Technol. on Commun., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2014
  • fDate
    13-15 Oct. 2014
  • Firstpage
    199
  • Lastpage
    203
  • Abstract
    Security is one of the most critical constraints for the expansion of P2P networks. The autonomy, dynamic and distribution natures benefit both valid and malicious users. Exploiting a reputation-based trust model is a feasible solution in such an open environment to build trust relationship among peers. While most of the existing trust models focus on decreasing the abuse, intentions and sharing capabilities of peers are mostly ignored. In this paper, we present a self-nominating trust model based on Hierarchical Fuzzy Systems to quantify the activities of peers. We integrate the reputation based on eight factors. Three promising factors are provided by resource holder to demonstrate their desires. Four capability factors are recorded by requester to identify the provider´s service capability. In addition, another security factor is adopted to evaluate the peers´ trust on security. Experiments illustrate that our trust model improves the efficiency and security of P2P systems.
  • Keywords
    computer network security; fuzzy set theory; peer-to-peer computing; trusted computing; P2P networks; hierarchical fuzzy system; peer trust relationship; peer-to-peer networks; reputation-based trust model; resource holder; security constraint; security factor; self-nominating trust model; Computational modeling; Fuzzy systems; Measurement; Peer-to-peer computing; Privacy; Quality of service; Security; Hierarchical fuzzy system; Promise; Reputation; Trust;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications in China (ICCC), 2014 IEEE/CIC International Conference on
  • Conference_Location
    Shanghai
  • Type

    conf

  • DOI
    10.1109/ICCChina.2014.7008271
  • Filename
    7008271