• DocumentCode
    3087070
  • Title

    Improved Method for Secure and Survivable Wireless Sensor Networks

  • Author

    Thein, Thandar ; Lee, Sang Min ; Park, Jong Sou

  • Author_Institution
    Comput. Eng. Dept., Korea Aerosp. Univ., Seoul
  • fYear
    2009
  • fDate
    25-27 March 2009
  • Firstpage
    605
  • Lastpage
    610
  • Abstract
    The survivability of the wireless sensor network (WSN) is threatened by resource limitations and security attacks. Security and survivability of WSNs are receiving increasing attention, particularly critical infrastructure protection. Our goal is to develop a framework for secure and survivable WSN that can provide essential services in the presence of attacks and failures, and recovery of full services in a timely manner. To achieve such a goal, we propose a framework of survivability model with rejuvenation methodology for WSNs. This paper also outlines the interaction of survivability, security and fault tolerance, so that we can effectively analyze and design the secure and survivable WSNs. The system is modeled under Markov chain and numerical results are included to show the performance of the proposed methods. It will be one of the approaches for improving the survivability level in WSN environment.
  • Keywords
    Markov processes; numerical analysis; telecommunication network reliability; telecommunication security; wireless sensor networks; Markov chain; infrastructure protection; network security; network survivability; wireless sensor networks; Aerospace engineering; Aerospace simulation; Computational modeling; Computer networks; Computer security; Computer simulation; Fault tolerance; Information security; Protection; Wireless sensor networks; Fault tolerant; WSNs; security; software rejuvenation; survivability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Modelling and Simulation, 2009. UKSIM '09. 11th International Conference on
  • Conference_Location
    Cambridge
  • Print_ISBN
    978-1-4244-3771-9
  • Electronic_ISBN
    978-0-7695-3593-7
  • Type

    conf

  • DOI
    10.1109/UKSIM.2009.52
  • Filename
    4809834