• DocumentCode
    1788528
  • Title

    A trust and reputation management system for cloud and sensor networks integration

  • Author

    Chunsheng Zhu ; Nicanfar, Hasen ; Leung, Victor C. M. ; Wenxiang Li ; Yang, L.T.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of British Columbia, Vancouver, BC, Canada
  • fYear
    2014
  • fDate
    10-14 June 2014
  • Firstpage
    557
  • Lastpage
    562
  • Abstract
    By incorporating the advantages of cloud computing (CC) and wireless sensor networks (WSNs), the integration of CC and WSNs attracts a lot of attention from both academia and industry. However, trust and reputation management for CC and WSNs integration is a critical and barely explored issue, which could strongly prevent the cloud service users (CSUs) from choosing the desirable cloud service providers (CSPs) or hinder the CSP from selecting appropriate sensor network providers (SNPs). To fill the gap, this paper proposes a novel trust and reputation management system for CC and WSNs integration. Considering the attribute requirement of CSU and CSP as well as the cost, trust and reputation of the service of CSP and SNP, the proposed system achieves the following two goals: 1) calculate and manage the trust and reputation regarding the service of CSP and SNP; 2) help CSU choose CSP and assist CSP in choosing SNP. Evaluation results are also shown to verify effectiveness of the proposed system.
  • Keywords
    cloud computing; wireless sensor networks; CC; CSPs; CSUs; SNPs; WSNs; cloud computing; cloud service providers; cloud service users; reputation management system; sensor network providers; trust management system; wireless sensor networks; Ad hoc networks; Cloud computing; Clouds; Digital signal processing; Educational institutions; Servers; Wireless sensor networks; Cloud; integration; reputation; sensor networks; trust;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2014 IEEE International Conference on
  • Conference_Location
    Sydney, NSW
  • Type

    conf

  • DOI
    10.1109/ICC.2014.6883377
  • Filename
    6883377