• DocumentCode
    2374278
  • Title

    Secret Key Generation Rate vs. Reconciliation Cost Using Wireless Channel Characteristics in Body Area Networks

  • Author

    Ali, Syed Taha ; Sivaraman, Vijay ; Ostry, Diethelm

  • Author_Institution
    Sch. of Electr. Eng. & Telecommun., Univ. of New South Wales, Sydney, NSW, Australia
  • fYear
    2010
  • fDate
    11-13 Dec. 2010
  • Firstpage
    644
  • Lastpage
    650
  • Abstract
    In this paper, we investigate the feasibility of real time derivation of cryptographic keys in body area networks using unique characteristics of the underlying wireless channel. We perform experiments to confirm that motion does indeed provide significant highly correlated randomness on either end of the wireless link between base station and mobile mote to enable real-time key generation. Furthermore, we demonstrate that channel characteristics for a dynamic body area network consist of two different components, a fast and a slow component, each of which make a qualitatively different contribution to key generation. These components can be isolated to address specific needs of the application scenario: the fast component can yield high entropy keys at a fast rate between base station and mobile mote with some bit disagreement between the two devices, the slow component generates keys at a lower rate but with very high level of bit agreement. Our experimental results highlight this tradeoff, and our key generation protocol details the key extraction process.
  • Keywords
    body area networks; private key cryptography; wireless channels; body area networks; cryptographic keys; reconciliation cost; secret key generation rate; wireless channel characteristics; body area networks; secret key generation; wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Embedded and Ubiquitous Computing (EUC), 2010 IEEE/IFIP 8th International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-9719-5
  • Electronic_ISBN
    978-0-7695-4322-2
  • Type

    conf

  • DOI
    10.1109/EUC.2010.103
  • Filename
    5703590