• DocumentCode
    2362450
  • Title

    Fast jamming detection in sensor networks

  • Author

    Siddhabathula, Kartik ; Dong, Qi ; Liu, Donggang ; Wright, Matthew

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Texas at Arlington, Arlington, TX, USA
  • fYear
    2012
  • fDate
    10-15 June 2012
  • Firstpage
    934
  • Lastpage
    938
  • Abstract
    Wireless Sensor Networks (WSN) are vulnerable to jamming attacks where an adversary injects strong noises to interfere with the normal transmission. It is crucial to detect such jamming attacks as fast as possible. Existing studies have shown that an effective indicator of jamming is the packet delivery ratio (PDR). However, current PDR-based schemes use the end-to-end packet delivery ratio, which requires one to observe communication for a long time before a good decision is made. In this paper, we propose collaborative detection, which evaluates the packet delivery ratio in an given area instead of a pair of nodes. The intuition is that the attacker often jams an area of his interest, not just two specific nodes. The benefit is that we can detect jamming attacks in a much faster way. We have evaluated the performance of our idea on TelosB motes. The results show that we can effectively and quickly detect jamming attacks.
  • Keywords
    jamming; telecommunication security; wireless sensor networks; PDR-based schemes; TelosB motes; WSN; collaborative detection; end- to-end packet delivery ratio; fast jamming detection; jamming attack detection; normal transmission; packet delivery ratio; wireless sensor networks; Ad hoc networks; Base stations; Jamming; Protocols; Receivers; Security; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2012 IEEE International Conference on
  • Conference_Location
    Ottawa, ON
  • ISSN
    1550-3607
  • Print_ISBN
    978-1-4577-2052-9
  • Electronic_ISBN
    1550-3607
  • Type

    conf

  • DOI
    10.1109/ICC.2012.6363672
  • Filename
    6363672