• DocumentCode
    3681039
  • Title

    Trust Evaluation Model Based on Privacy Protection

  • Author

    Ruo-Qian Si;Lin Zhang

  • Author_Institution
    Coll. of Comput., Nanjing Univ. of Posts &
  • fYear
    2015
  • Firstpage
    595
  • Lastpage
    600
  • Abstract
    The existing trust evidence models most use a comprehensive analysis of the trust in the trust decision. Comprehensive trust value is based on direct trust value and recommended trust value derived.And recommended trust value is as to private data of a provider,its privacy should be taken into consideration. However, most of the trust models have neglected this point. With the help of ERRPH (Extended Randomized Response with Partial Hidding) method this problem is solved.This method can protect privacy effectively and do not affect the judgment of trust.When making trust decisions,this method can ensure the privacy and accuracy of data.We also combine with calculation based on the Bayesian theory in the trust decision.Through simulation,it proves that this model have effect of privacy protection.This model is also a more effective trust evaluation methods.
  • Keywords
    "Privacy","Computational modeling","Data privacy","Analytical models","Data models","Mathematical model","Predictive models"
  • Publisher
    ieee
  • Conference_Titel
    Network and Information Systems for Computers (ICNISC), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/ICNISC.2015.147
  • Filename
    7311960