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A lightweight anti-desynchronization RFID authentication protocol

Author

Listed:
  • Shijie Zhou

    (The University of Electronic Science and Technology of China)

  • Zhen Zhang

    (The University of Electronic Science and Technology of China)

  • Zongwei Luo

    (The University of Hong Kong)

  • Edward C. Wong

    (The University of Hong Kong)

Abstract

Radio frequency identification (RFID) technology has been widely used in ubiquitous infrastructures. However, resource constraint in the low-cost RFID systems has posed potential risks such as privacy and security problems, becoming adoption barrier for RFID-based applications. In this paper, current security issues in RFID are introduced firstly. Then, we propose a lightweight Anti-desynchronization privacy preserving RFID authentication protocol. It is particularly suitable for the low-cost RFID environment for only the capacity of one-way hash function and XOR operation is needed. In this lightweight Anti-desynchronization RFID authentication protocol, the back-end server keeps the history of the random key update to prevent the active attackers from de-synchronizing the shared secret between the tag and the back-end server. The security and the performance of the proposed protocol are analyzed as well.

Suggested Citation

  • Shijie Zhou & Zhen Zhang & Zongwei Luo & Edward C. Wong, 2010. "A lightweight anti-desynchronization RFID authentication protocol," Information Systems Frontiers, Springer, vol. 12(5), pages 521-528, November.
  • Handle: RePEc:spr:infosf:v:12:y:2010:i:5:d:10.1007_s10796-009-9216-6
    DOI: 10.1007/s10796-009-9216-6
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    Citations

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    Cited by:

    1. Selwyn Piramuthu, 2012. "Vulnerabilities of RFID protocols proposed in ISF," Information Systems Frontiers, Springer, vol. 14(3), pages 647-651, July.
    2. Nilgun Fescioglu-Unver & Sung Hee Choi & Dongmok Sheen & Soundar Kumara, 2015. "RFID in production and service systems: Technology, applications and issues," Information Systems Frontiers, Springer, vol. 17(6), pages 1369-1380, December.
    3. Chulhwan Chris Bang, 2015. "Information systems frontiers: Keyword analysis and classification," Information Systems Frontiers, Springer, vol. 17(1), pages 217-237, February.
    4. Qingkuan Dong & Mengmeng Chen & Lulu Li & Kai Fan, 2018. "Cloud-based radio frequency identification authentication protocol with location privacy protection," International Journal of Distributed Sensor Networks, , vol. 14(1), pages 15501477187, January.

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