• DocumentCode
    3008807
  • Title

    Catching "Moles" in Sensor Networks

  • Author

    Ye, Fan ; Yang, Hao ; Liu, Zhen

  • Author_Institution
    T.J. Watson Res. Center, IBM, Hawthorne, NY
  • fYear
    2007
  • fDate
    25-27 June 2007
  • Firstpage
    69
  • Lastpage
    69
  • Abstract
    False data injection is a severe attack that compromised sensor nodes ("moles"1) can launch. These moles inject large amount of bogus traffic that can lead to application failures and exhausted network resources. Existing sensor network security proposals only passively mitigate the damage by filtering injected packets; they do not provide active means for fight back. This paper studies how to locate such moles within the framework of packet marking, when forwarding moles collude with source moles to manipulate the marks. Existing Internet traceback mechanisms do not assume compromised forwarding nodes and are easily defeated by manipulated marks. We propose a probabilistic nested marking (PNM) scheme that is secure against such colluding attacks. No matter how colluding moles manipulate the marks, PNM can always locate them one by one. We prove that nested marking is both sufficient and necessary to resist colluding attacks. PNM also has fast-traceback: within about 50 packets, it can track down a mole up to 20 hops away from the sink. This virtually prevents any effective data injection attack: moles will be caught before they have injected any meaningful amount of bogus traffic.
  • Keywords
    Internet; telecommunication security; wireless sensor networks; Internet traceback mechanisms; false data injection; network security; packet marking; probabilistic nested marking; sensor networks; Bandwidth; Data security; Floods; Information filtering; Information filters; Internet; Proposals; Protection; Resists; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Distributed Computing Systems, 2007. ICDCS '07. 27th International Conference on
  • Conference_Location
    Toronto, ON
  • ISSN
    1063-6927
  • Print_ISBN
    0-7695-2837-3
  • Electronic_ISBN
    1063-6927
  • Type

    conf

  • DOI
    10.1109/ICDCS.2007.89
  • Filename
    4268222