• DocumentCode
    3228706
  • Title

    Agent-based Trust Model in Wireless Sensor Networks

  • Author

    Chen, Haiguang ; Wu, Huafeng ; Zhou, Xi ; Gao, Chuanshan

  • Author_Institution
    Shanghai Normal Univ., Shanghai
  • Volume
    3
  • fYear
    2007
  • fDate
    July 30 2007-Aug. 1 2007
  • Firstpage
    119
  • Lastpage
    124
  • Abstract
    Wireless Sensor Networks (WSNs) have an excellent application to monitor environments such as military surveillance and forest fire. However, in many scenarios, WSNs are of interested to adversaries and these sensor nodes are deployed in open and unprotected environments, the security of WSNs is still an important issue. Traditionally cryptographic mechanisms such as authentication and encryption only address part of the problem of security in WSNs. In recent years, the use of reputation and trust systems has become an important mechanism for security in WSNs. In this paper, we develop a distributed agent- based trust model in WSNs. We also discuss some attacks in reputation and trust system, and offered some schemes to defense these attacks. The simulation results and analysis show that our model can detect the malicious nodes fast and accurately and efficiently prevent these attacks in WSNs.
  • Keywords
    cryptography; multi-agent systems; telecommunication computing; telecommunication security; wireless sensor networks; cryptographic mechanism; distributed agent-based trust model; wireless sensor network; Artificial intelligence; Authentication; Computer science; Cryptography; Monitoring; Peer to peer computing; Security; Software engineering; Uncertainty; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2007. SNPD 2007. Eighth ACIS International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-0-7695-2909-7
  • Type

    conf

  • DOI
    10.1109/SNPD.2007.122
  • Filename
    4287835