• DocumentCode
    2301342
  • Title

    Energy-driven methodology for node self-destruction in wireless sensor networks

  • Author

    Plastoi, Madalin ; Curiac, Daniel-Ioan

  • Author_Institution
    Politeh. Univ. Timisoara, Timisoara, Romania
  • fYear
    2009
  • fDate
    28-29 May 2009
  • Firstpage
    319
  • Lastpage
    322
  • Abstract
    Wireless sensor networks technology is a rapidly growing domain, getting more and more credit in the area of civilian and military applications. In the same time with technological advancement, new and dangerous information security threats have emerged. In this paper we considered that a node self-destruction procedure must be performed as a final stage in the sensor node lifecycle in order to assure the confidentiality regarding information like: network topology, type of measurement data gathered by sensors, encryption/authentication algorithms and key-exchange mechanisms, etc. that can be unveiled otherwise through reverse engineering methods. Our methodology relies on an efficient power monitoring scheme, based on combined in-network and predictive data, which discover the low battery nodes and initiate a self-destruction procedure for that nodes.
  • Keywords
    telecommunication network reliability; telecommunication security; wireless sensor networks; energy-driven methodology; information security threat; node self-destruction procedure; power monitoring scheme; sensor node lifecycle; wireless sensor network; Authentication; Base stations; Batteries; Computational intelligence; Cryptography; Energy consumption; Monitoring; Network topology; Reverse engineering; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applied Computational Intelligence and Informatics, 2009. SACI '09. 5th International Symposium on
  • Conference_Location
    Timisoara
  • Print_ISBN
    978-1-4244-4477-9
  • Electronic_ISBN
    978-1-4244-4478-6
  • Type

    conf

  • DOI
    10.1109/SACI.2009.5136264
  • Filename
    5136264