• DocumentCode
    2486963
  • Title

    Topological detection on wormholes in wireless ad hoc and sensor networks

  • Author

    Dezun Dong ; Mo Li ; Yunhao Liu ; Xiang-Yang Li ; Xiangke Liao

  • Author_Institution
    Sch. of Comput., Nat. Univ. of Defense Technol., Changsha, China
  • fYear
    2009
  • fDate
    13-16 Oct. 2009
  • Firstpage
    314
  • Lastpage
    323
  • Abstract
    Wormhole attack is a severe threat to wireless ad hoc and sensor networks. Most existing countermeasures either require specialized hardware devices or make strong assumptions on the network in order to capture the specific (partial) symptom induced by wormholes. Those requirements and assumptions limit the applicability of previous approaches. In this work, we present our attempt to understand the impact and inevitable symptom of wormholes and develop distributed detection methods by making as few restrictions and assumptions as possible. We fundamentally analyze the wormhole problem using a topology methodology, and propose an effective distributed approach, which relies solely on network connectivity information, without any requirements on special hardware devices or any rigorous assumptions on network properties. We rigorously prove the correctness of this design in continuous geometric domains and extend it into discrete domains. We evaluate its performance through extensive simulations.
  • Keywords
    ad hoc networks; invasive software; wireless sensor networks; distributed detection methods; network connectivity information; topological detection; wireless ad hoc networks; wireless sensor networks; wormholes; Computer networks; Computer science; Cryptography; Hardware; Information analysis; Network topology; Spread spectrum communication; Synchronization; Wireless networks; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network Protocols, 2009. ICNP 2009. 17th IEEE International Conference on
  • Conference_Location
    Princeton, NJ
  • ISSN
    1092-1648
  • Print_ISBN
    978-1-4244-4635-3
  • Type

    conf

  • DOI
    10.1109/ICNP.2009.5339673
  • Filename
    5339673