• DocumentCode
    552454
  • Title

    How to solve collision and authentication issues using RFID protocol technology

  • Author

    Jeng, Albert B. ; Chang, Li-Chung ; Lee, Hahn-Ming ; Wei, Te-en ; Lin, Szu-yu

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Jinwen Univ. of Sci. & Technol., Taipei, Taiwan
  • Volume
    1
  • fYear
    2011
  • fDate
    10-13 July 2011
  • Firstpage
    454
  • Lastpage
    460
  • Abstract
    RFID tags are a powerful mechanism for object identification and can facilitate the compilation of detailed object histories and pedigrees. Since RFID tags communicate with the reader through open air in an automated, wireless manner, they are poor authenticators. The real life RFID application issues include poor-authentication, counterfeit and collision. Therefore, in this paper we focus on passive and active RFID collision problems with authentication and counterfeit. We propose a new protocol called CRPA to make anti-collision protocol and authentication protocol working together for passive RFID tags. Previously, we have proposed a suitable communication protocol with the function of anti-collision and anti-counterfeiting called CRPAC for active RFID tags. In this CRPA scheme, when the anti-collision mechanism is in progress, the anti-counterfeiting scheme is working along with it. Eventually, the new scheme effectively reduces the workload of RFID system and significantly decreases collision probability of the passive tags. The proposed CRPA protocol is especially applicable to multiple tags scenario that requires anti-collision and authentication.
  • Keywords
    cryptographic protocols; object recognition; radiofrequency identification; RFID protocol technology; RFID tags; anticollision protocol; authentication protocol; object histories; object identification; Active RFID tags; Authentication; Cellular phones; Hospitals; Libraries; Protocols; Anti-collision; Anti-counterfeiting; Authentication; CRPA; CRPAC; RFID;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2011 International Conference on
  • Conference_Location
    Guilin
  • ISSN
    2160-133X
  • Print_ISBN
    978-1-4577-0305-8
  • Type

    conf

  • DOI
    10.1109/ICMLC.2011.6016689
  • Filename
    6016689