• DocumentCode
    3065788
  • Title

    Combined Malicious Node Discovery and Self-Destruction Technique for Wireless Sensor Networks

  • Author

    Curiac, Daniel-Ioan ; Plastoi, Madalin ; Banias, Ovidiu ; Volosencu, Constantin ; Tudoroiu, Roxana ; Doboli, Alexa

  • Author_Institution
    Autom. & Ind. Inf. Dept., Politeh. Univ. of Timisoara, Timisoara, Romania
  • fYear
    2009
  • fDate
    18-23 June 2009
  • Firstpage
    436
  • Lastpage
    441
  • Abstract
    With the continuous development of the wireless technology, securing wireless sensor networks became more and more a crucial but also a demanding task. In this paper we propose a combined strategy that is meant to discover malicious nodes within a wireless sensor network and to expel them from the network using a self-destruction node technique. Basically, we will compare every sensor reading with its estimated value provided by an autoregressive predictor. In case the difference between the two values is bigger then a chosen threshold, the sensor node becomes suspicious and a decision block is activated. If this block decides that the node is malicious, a self-destruction procedure will be started against that specific node.
  • Keywords
    autoregressive processes; wireless sensor networks; autoregressive predictor; decision block; malicious node discovery; self-destruction node; sensor node; wireless sensor networks; Automation; Communication system security; Computer security; Cryptography; Femtocell networks; Informatics; Information security; Reverse engineering; Sensor phenomena and characterization; Wireless sensor networks; information security; malicious attacks; self-destruction; wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensor Technologies and Applications, 2009. SENSORCOMM '09. Third International Conference on
  • Conference_Location
    Athens, Glyfada
  • Print_ISBN
    978-0-7695-3669-9
  • Type

    conf

  • DOI
    10.1109/SENSORCOMM.2009.72
  • Filename
    5210881