• DocumentCode
    3016282
  • Title

    Malicious node detection via physical layer data

  • Author

    Hardy, Tyler J. ; Martin, Richard K. ; Thomas, Ryan W.

  • Author_Institution
    Dept. of Elec. & Comp. Eng., Air Force Inst. of Technol., Wright Patterson AFB, OH, USA
  • fYear
    2010
  • fDate
    7-10 Nov. 2010
  • Firstpage
    1432
  • Lastpage
    1436
  • Abstract
    There are many mechanisms that can cause inadequate or unreliable information in sensor networks. A user of the network might be interested in detecting and classifying specific sensors nodes causing these problems. There are many network layer based trust mechanisms in the literature to assess these issues; in contrast this work develops physical layer based trust metrics to detect non-functioning nodes. The context will be “wireless network discovery,” which refers to modeling all layers of a non-cooperative wireless network. In particular, the localization of transmitters and the detection of sensors affecting the localization. A model for non-functioning sensors and two methods of detection are developed. The methods of detection are analyzed with Receiver Operating Characteristic (ROC) curves, and the sensor node trade-off of detection versus localization error is discussed.
  • Keywords
    mean square error methods; object detection; wireless sensor networks; ROC curves; malicious node detection; noncooperative wireless network; nonfunctioning nodes; physical layer data; receiver operating characteristic curves; sensor networks; sensors nodes; wireless network discovery; Maximum likelihood estimation; Measurement; Noise; Physical layer; Tin; Transmitters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers (ASILOMAR), 2010 Conference Record of the Forty Fourth Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    978-1-4244-9722-5
  • Type

    conf

  • DOI
    10.1109/ACSSC.2010.5757772
  • Filename
    5757772