• DocumentCode
    2904424
  • Title

    Locating jamming attackers in malicious wireless sensor networks

  • Author

    Kaiqi Xiong ; Thuente, David

  • Author_Institution
    Coll. of Comput. & Inf. Sci., Rochester Inst. of Technol., Rochester, NY, USA
  • fYear
    2012
  • fDate
    1-3 Dec. 2012
  • Firstpage
    400
  • Lastpage
    407
  • Abstract
    Recent years have witnessed a rapid growth of wireless sensor network applications in civil and military environments. Radio interference tends to be a serious threat in such applications. Jamming attacks are a direct consequence of radio interference that an adversary may intentionally launch. While it is necessary to defend against jamming attacks in order for sensor communication channels to be available and reliable, it is also difficult. In this paper, we develop a systematic approach to tackling jamming attacks. We propose robust fault-tolerant algorithms for the location discovery of jamming attackers that permit us to remove jamming attackers from wireless sensor networks. Then, we investigate the proposed approach through theoretical analysis and experiments. Our analytical and numerical results demonstrate the efficiency and effectiveness of the proposed approach.
  • Keywords
    fault tolerance; jamming; wireless sensor networks; direct consequence; jamming attack tackle; jamming attacker location; location discovery; malicious wireless sensor networks; radio interference; robust fault-tolerant algorithms; sensor communication channels; serious threat; Equations; Jamming; Linear regression; Prediction algorithms; Robustness; Synchronization; Wireless sensor networks; Discovery of location; Jamming; Malicious sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Performance Computing and Communications Conference (IPCCC), 2012 IEEE 31st International
  • Conference_Location
    Austin, TX
  • ISSN
    1097-2641
  • Print_ISBN
    978-1-4673-4881-2
  • Type

    conf

  • DOI
    10.1109/PCCC.2012.6407783
  • Filename
    6407783