• DocumentCode
    2975418
  • Title

    Attack-Resistant Sensor Localization under Realistic Wireless Signal Fading

  • Author

    Iqbal, Anindya ; Murshed, Manzur

  • Author_Institution
    Gippsland Sch. of Inf. Technol., Monash Univ., Churchill, VIC, Australia
  • fYear
    2010
  • fDate
    18-21 April 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In a decentralized sensor network, localization process relies on the integrity of participating sensors. Existence of malicious beacon nodes in the vicinity of non-beacon nodes affects this process. This paper presents a trilateration-based secure localization technique, which is capable of estimating the location of a sensor with high accuracy so long four neighbouring beacon nodes are benign, irrespective of the number of neighbouring liars and without assuming any trust model. In realistic scenarios of wireless environment where transmitted signals attenuate randomly due to fading, the liar-tolerance level of this attack-resistant technique has to be relaxed accordingly. Superiority of this technique against the state-of-the-art has been established with extensive simulation results in terms of location estimation accuracy and liar-filtering probability.
  • Keywords
    fading; telecommunication security; wireless sensor networks; attack-resistant sensor localization process; beacon nodes; decentralized sensor network; liar-filtering probability; nonbeacon nodes; realistic wireless signal fading; trilateration-based secure localization technique; Communication system security; Communications Society; Estimation error; Fading; Global Positioning System; Military computing; Peer to peer computing; Routing; Signal processing; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Networking Conference (WCNC), 2010 IEEE
  • Conference_Location
    Sydney, NSW
  • ISSN
    1525-3511
  • Print_ISBN
    978-1-4244-6396-1
  • Type

    conf

  • DOI
    10.1109/WCNC.2010.5506583
  • Filename
    5506583