• DocumentCode
    2705217
  • Title

    Detecting Malicious Witness Reports in Multi-agent Systems

  • Author

    Xing, Maolin ; Li, Bin ; Wu, Xingshen

  • Author_Institution
    Yangzhou Univ., Yangzhou
  • fYear
    2007
  • fDate
    15-19 Dec. 2007
  • Firstpage
    616
  • Lastpage
    619
  • Abstract
    In open Multi-agent Systems, trust plays the central role in facilitating interactions. Most of trust models need to collect the witness reports, and they may suffer due to existence of malicious witness. To detect the malicious witness reports, this paper presents an approach, OSM (Opinion Similarity Measure). Evaluator calculates the opinion similarity state (OSS) between evaluator and witness according to their reports, and evaluates the witness credibility according to the OSS between them. Experiment and analysis show that OSM is more robust than existing approaches.
  • Keywords
    multi-agent systems; security of data; malicious witness report detection; multi agent system; opinion similarity measure approach; trust model; Analytical models; Computational intelligence; Educational institutions; Feedback; Filters; Laboratories; Multiagent systems; Open systems; Robustness; Security;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security Workshops, 2007. CISW 2007. International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-0-7695-3073-4
  • Type

    conf

  • DOI
    10.1109/CISW.2007.4425571
  • Filename
    4425571