• DocumentCode
    266816
  • Title

    Modeling and verification tools for jamming attacks in VANETs

  • Author

    Ben-Othman, Jalel ; Mokdad, Lynda

  • Author_Institution
    Lab. L2TI, Univ. of Paris 13, Paris, France
  • fYear
    2014
  • fDate
    8-12 Dec. 2014
  • Firstpage
    4562
  • Lastpage
    4567
  • Abstract
    Researchers have payed more and more attention on security issues in wireless networks this last decade as those networks are exposed to Denial of Service (DoS) attacks. Last improvements of the wireless technologies has developed the possibility to cars to communicate with Vehicular Ad Hoc networks more known as VANET. In these networks the impact of DoS is more important as it can affect the life of passengers. The features of DoS attacks are not well known in VANETs, thus we propose in this study a new Analytical model that represents the behavior of jamming attack in VANETS. This DoS attack consists of a node that disturb/disrupt the communications between nodes, then the overall quality of service is decreased. Representing this attack by analytical model using Markov chains is impossible as we face a problem of a state space explosion, thus we have used a more appropriate concept that is not usually used in the security in wireless networks with Stochastic Automata Networks. This model was used to calculate the rewards of this attack and can be used to decide whether a network is under or not a DoS attack.
  • Keywords
    Markov processes; computer network security; formal verification; quality of service; vehicular ad hoc networks; DoS attack; Markov chains; VANET; denial-of-service attacks; jamming attacks; modeling tools; quality-of-service; security issues; state space explosion problem; vehicular ad hoc networks; verification tools; wireless networks; wireless technologies; Automata; Jamming; Stochastic processes; Storage area networks; Synchronization; Wireless networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Communications Conference (GLOBECOM), 2014 IEEE
  • Conference_Location
    Austin, TX
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2014.7037527
  • Filename
    7037527