• DocumentCode
    3401592
  • Title

    Randomized Bit Encoding for Stronger Backward Channel Protection in RFID Systems

  • Author

    Lim, Tong-Lee ; Li, Tieyan ; Yeo, Sze-Ling

  • fYear
    2008
  • fDate
    17-21 March 2008
  • Firstpage
    40
  • Lastpage
    49
  • Abstract
    In this paper, we introduce a randomized bit encoding scheme that can strengthen the privacy protection on RFID tags. This scheme is used together with the backward channel protection method proposed by Choi and Roh (2006), which serves to protect the unique identifier of an RFID tag from disclosure to close-range eavesdroppers. Choi and Roh´s method faces the ´same-bit´ problem, in which some bits of the unique identifier could be disclosed, thereby revealing critical information. Our proposed scheme alleviates the ´same-bit´ problem to a negligible level. Furthermore, we propose an enhanced system model that can protect the unique tag identifier from disclosure not only against eavesdroppers, but against unauthorized interrogators as well. A metric based on entropy was defined and used to measure the amount of protection offered by the scheme. A method to construct an optimal randomized n-bit encoding scheme was also described. In addition, theoretical analysis and simulations were conducted, which show that the proposed encoding scheme provides significant improvement (achieving almost twice the entropy) over no encoding.
  • Keywords
    encoding; radiofrequency identification; telecommunication security; RFID system; backward channel protection; privacy protection; randomized bit encoding; unique tag identifier; Analytical models; Communication system security; Cryptography; Entropy; Pervasive computing; Privacy; Protection; Protocols; RFID tags; Radiofrequency identification; RFID security and privacy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing and Communications, 2008. PerCom 2008. Sixth Annual IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-0-7695-3113-7
  • Type

    conf

  • DOI
    10.1109/PERCOM.2008.23
  • Filename
    4517377