• DocumentCode
    2229807
  • Title

    Physically Unclonable Function-Based Security and Privacy in RFID Systems

  • Author

    Bolotnyy, Leonid ; Robins, Gabriel

  • Author_Institution
    Dept. of Comput. Sci., Virginia Univ., Charlottesville, VA
  • fYear
    2007
  • fDate
    19-23 March 2007
  • Firstpage
    211
  • Lastpage
    220
  • Abstract
    Radio frequency identification (RFID) is an increasingly popular technology that uses radio signals for object identification. Tracking and authentication in RFID tags have raised many privacy and security concerns. On the other hand, known privacy and security cryptographic defenses are too hardware-expensive to incorporate into low-cost RFID tags. In this paper, we propose hardware-based approaches to RFID security that rely on physically unclonable functions (PUFs). These functions exploit the inherent variability of wire delays and parasitic gate delays in manufactured circuits, and may be implemented with an order-of-magnitude reduction in gate count as compared with traditional cryptographic functions. We describe protocols for privacy-preserving tag identification and secure message authentication codes. We compare PUFs to digital cryptographic functions, address other uses of PUFs to enhance RFID security and suggest interesting directions for future research. The proposed solutions are efficient, practical, and appropriate for low-cost RFID systems
  • Keywords
    cryptography; message authentication; radiofrequency identification; RFID tags; cryptographic defenses; hardware-based approaches; message authentication codes; object identification; order-of-magnitude reduction; parasitic gate delays; physically unclonable functions; privacy-preserving tag identification; radiofrequency identification; system privacy; system security; wire delays; Authentication; Cryptography; Delay; Privacy; RF signals; RFID tags; Radiofrequency identification; Security; Signal processing; Wire;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing and Communications, 2007. PerCom '07. Fifth Annual IEEE International Conference on
  • Conference_Location
    White Plains, NY
  • Print_ISBN
    0-7695-2787-6
  • Type

    conf

  • DOI
    10.1109/PERCOM.2007.26
  • Filename
    4144766