• DocumentCode
    638633
  • Title

    A collusion detection trust model based on behaviour similarity

  • Author

    Guoming Cai ; Miao Wang ; Yadi Wang ; Yanzhou Zhou

  • Author_Institution
    Inf. Eng. Univ., Zhengzhou, China
  • fYear
    2013
  • fDate
    27-29 April 2013
  • Firstpage
    241
  • Lastpage
    245
  • Abstract
    Although the existing P2P trust models can provide effective resistance to the false recommendation of a single node attack, they general lack effective means of identification and prevention mechanisms to the node collusion attack. In this paper we present the conspiracy group detection model based on behaviour similarity. Both the malicious node detection success rate and normal node false detection rate results show that the model can effectively resist the collusion attack by malicious node set effectively.
  • Keywords
    computer network security; peer-to-peer computing; set theory; trusted computing; P2P trust models; behaviour similarity; collusion detection trust model; conspiracy group detection model; malicious node detection success rate; malicious node set; normal node false detection rate; peer-to-peer technology; single node attack; abnormal nodes; behaviour similarity; collusion detection; peer-to-peer; trust model;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Information and Communications Technologies (IETICT 2013), IET International Conference on
  • Conference_Location
    Beijing
  • Electronic_ISBN
    978-1-84919-653-6
  • Type

    conf

  • DOI
    10.1049/cp.2013.0058
  • Filename
    6617501