• DocumentCode
    1282362
  • Title

    Improved Radiometric Identification of Wireless Devices Using MIMO Transmission

  • Author

    Shi, Yan ; Jensen, Michael A.

  • Author_Institution
    Electr. & Comput. Eng. Dept., Brigham Young Univ., Provo, UT, USA
  • Volume
    6
  • Issue
    4
  • fYear
    2011
  • Firstpage
    1346
  • Lastpage
    1354
  • Abstract
    Authenticating wireless devices based on features of their transmitted waveform has become a topic of considerable interest. Recent work in this arena has shown that examination of features in a modulated waveform can lead to highly precise identification of 802.11 devices. This paper experimentally demonstrates improved identification accuracy and reduced sensitivity to identification parameters when such techniques are applied to the multiple transmitters within multiple-input multiple-output devices. It further studies an information theoretic technique for determining which radiometric features are most effective in discriminating devices and analyzes the identification performance as a function of the number of features used. Finally, because some radiometric features are sensitive to environmental conditions and, therefore, drift with time, the analysis explores the impact of radiometric feature drift both on feature prioritization and on identification performance.
  • Keywords
    MIMO communication; computer network security; radiometry; MIMO transmission; authenticating wireless devices; environmental conditions; identification accuracy; identification parameters; modulated waveform; radiometric identification; transmitted waveform; Accuracy; Authentication; Computer security; MIMO; Performance evaluation; Radiometry; Redundancy; Computer network security; fingerprint identification; multiple-input multiple-output (MIMO) systems;
  • fLanguage
    English
  • Journal_Title
    Information Forensics and Security, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1556-6013
  • Type

    jour

  • DOI
    10.1109/TIFS.2011.2162949
  • Filename
    5961627