• DocumentCode
    3324872
  • Title

    Robust Sybil Detection for MANETs

  • Author

    Tangpong, Athichart ; Kesidis, George ; Hsu, Hung-Yuan ; Hurson, Ali

  • Author_Institution
    CSE & EE Dept., Pennsylvania State Univ., University Park, PA, USA
  • fYear
    2009
  • fDate
    3-6 Aug. 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this research, we propose a robust Sybil attack detection framework for MANETs based on cooperative monitoring of network activities. We do not require designated and honest monitors to perform the Sybil attack detection. Each mobile node in the network observes packets passing through it and periodically exchanges its observations in order to determine the presence of an attack. Malicious nodes fabricating false observations will be detected and rendered ineffective. Our framework requires no centralized authority and, thus, is scalable in expanding network size. Privacy of each mobile node is also a consideration of our framework. Our preliminary experimental results yield above 80% accuracy (true positives) and about 10% error rate (false positives).
  • Keywords
    ad hoc networks; data privacy; mobile radio; telecommunication security; MANET; cooperative monitoring; malicious nodes; mobile node privacy; network activities; robust Sybil attack detection framework; Computer displays; Computer science; Computerized monitoring; Counterfeiting; Error analysis; Intrusion detection; Mobile ad hoc networks; Privacy; Robustness; Telecommunication traffic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Communications and Networks, 2009. ICCCN 2009. Proceedings of 18th Internatonal Conference on
  • Conference_Location
    San Francisco, CA
  • ISSN
    1095-2055
  • Print_ISBN
    978-1-4244-4581-3
  • Electronic_ISBN
    1095-2055
  • Type

    conf

  • DOI
    10.1109/ICCCN.2009.5235387
  • Filename
    5235387