• DocumentCode
    1924838
  • Title

    Modeling intrusion detection in mobile ad hoc networks as a non cooperative game

  • Author

    Paramasiva, B. ; Pitchai, K.M.

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Nat. Eng. Coll., Kovilpatti, India
  • fYear
    2013
  • fDate
    21-22 Feb. 2013
  • Firstpage
    300
  • Lastpage
    306
  • Abstract
    The vulnerable nature of the Mobile Adhoc Networks, make them open to numerous security threats which distorts their further developmental attempts, In order to overcome such scenarios in an effective way Intrusion Detection System techniques can be incorporated which will strengthen the frontline security. This paper addresses a novel intrusion detection system that uses Game theoretic model to detect the malicious nodes at an earlier stage. The Bayesian game concept of game theory have been used to model the interaction between any two neighbouring nodes of a mobile adhoc network and the game is resolved to find best strategies for the regular nodes of the network. These strategies are used as a defensive mechanism to defend against malicious attacks and also the nodes monitor their neighbours continuously and stores the information about the packets sent and received based on which the subsequent stages of the game are carried forward.
  • Keywords
    Bayes methods; game theory; mobile ad hoc networks; telecommunication security; Bayesian game concept; defensive mechanism; frontline security; game theoretic model; intrusion detection modelling; malicious attacks; malicious nodes; mobile ad hoc networks; non cooperative game; security threats; Bayes methods; Game theory; Games; Intrusion detection; Mobile ad hoc networks; Monitoring; Receivers; Bayesian Game; Game Theory; Intrusion Detection System; Mobile Adhoc Networks; Network Security;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, Informatics and Mobile Engineering (PRIME), 2013 International Conference on
  • Conference_Location
    Salem
  • Print_ISBN
    978-1-4673-5843-9
  • Type

    conf

  • DOI
    10.1109/ICPRIME.2013.6496490
  • Filename
    6496490