• DocumentCode
    2940383
  • Title

    A Bayesian Game Approach for Preventing DoS Attacks in Wireless Sensor Networks

  • Author

    Mohi, Maryam ; Movaghar, Ali ; Zadeh, Pooya Moradian

  • Author_Institution
    Dept. of IT, Sharif Univ. of Technol., Kish
  • Volume
    3
  • fYear
    2009
  • fDate
    6-8 Jan. 2009
  • Firstpage
    507
  • Lastpage
    511
  • Abstract
    Wireless sensor networks (WSNs) are new technologies, foreseen to be used increasingly in the near future, and security is an important issue for them. However because of the nodes resource limitations, other schemes proposed for securing general ad hoc networks, are not appropriate for WSNs. Usually some nodes act maliciously and they are able to do different kinds of DoS attacks. In order to make the network more secure, malicious nodes should be isolated from the network. In this paper, we model the interaction of nodes in WSN and intrusion detection system (IDS) as a Bayesian game formulation and use this idea to make a secure routing protocol. By this approach nodes are motivated to act normally and gain reputation, and IDS can perform better by using the history of the game. As this game approaches to Nash equilibrium, it leads to a defense strategy for the network.
  • Keywords
    Bayes methods; ad hoc networks; game theory; routing protocols; security of data; telecommunication security; wireless sensor networks; Bayesian game approach; DoS attacks; Nash equilibrium; ad hoc networks; intrusion detection system; malicious nodes; network defense strategy; node interaction; secure routing protocol; wireless sensor networks; Ad hoc networks; Batteries; Bayesian methods; Computer crime; Cryptography; Intrusion detection; Monitoring; Protection; Routing protocols; Wireless sensor networks; Intrusion detection system; Security; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Mobile Computing, 2009. CMC '09. WRI International Conference on
  • Conference_Location
    Yunnan
  • Print_ISBN
    978-0-7695-3501-2
  • Type

    conf

  • DOI
    10.1109/CMC.2009.325
  • Filename
    4797305