• DocumentCode
    625661
  • Title

    On Feasibility of Fingerprinting Wireless Sensor Nodes Using Physical Properties

  • Author

    Xiaowei Mei ; Donggang Liu ; Kun Sun ; Dingbang Xu

  • Author_Institution
    Comput. Sci. & Eng. Dept., Univ. of Texas at Arlington, Arlington, TX, USA
  • fYear
    2013
  • fDate
    20-24 May 2013
  • Firstpage
    1112
  • Lastpage
    1121
  • Abstract
    Fingerprinting wireless devices using physical properties has been recently suggested as an alternative for device identification and authentication. It has been found that the clock skew caused by the frequency discrepancy of the quartz crystals in different devices can be used as a reliable source for fingerprinting. Researchers have studied the application of the clock skew-based fingerprinting in sensor networks and claimed that it can detect fake identities, wormholes, and node replicas. However, the study in this paper draws a completely opposite conclusion, i.e., the clock skew of sensor nodes can be easily forged by adversaries to evade the detection. This paper then studies the feasibility of using the distribution of signal power in space to fingerprint sensor nodes. The result shows that a sensor node´s signal power distribution in space is not only reliable for being used as a source for fingerprinting but also very hard to forge. Finally, the paper discusses the application of using signal power distribution for detecting various attacks as well as the limitations and open problems.
  • Keywords
    clocks; quartz; signal detection; telecommunication security; wireless sensor networks; clock skew based fingerprinting; device authentication; device identification; fake identities; node replicas; quartz crystals; signal power distribution; wireless sensor node fingerprinting; wormholes; Authentication; Clocks; Cryptography; Equations; Estimation; Reliability; Standards; Sensor network; authentication; clock skew; fingerprinting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel & Distributed Processing (IPDPS), 2013 IEEE 27th International Symposium on
  • Conference_Location
    Boston, MA
  • ISSN
    1530-2075
  • Print_ISBN
    978-1-4673-6066-1
  • Type

    conf

  • DOI
    10.1109/IPDPS.2013.15
  • Filename
    6569889