Skip to main content
SpringerLink
Log in

An Improved RFID Authentication Protocol Based on Group Anonymous Model

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

Aiming at the security and privacy, and authentication efficiency shortages of existing RFID authentication protocol, an improved scheme is proposed based on Alavi et al.’s protocol. Firstly, in order to resist against replay attack, we add the timestamp generator to the reader side and use hash function to encrypt the reader identification, the random number and timestamp generated by the reader; meanwhile, to solve the data integrity problem in the original scheme, the reader matches the decrypted data with the server side message to ensure that it can detect if the data is tampered with by the attacker. Finally, the improved group anonymous authentication model is used to improve the back-end server’s authentication efficiency. Theoretical analysis and experimental results show that the improved protocol effectively solves the security problems and reduces the back-end server’s authentication time. In addition, this paper simulates the impact of group number on system privacy level and authentication efficiency through experiments. In practical applications, the group number can be adjusted appropriately according to different privacy and efficiency requirements, so the privacy and authentication efficiency of the system will be well-balanced.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  1. Irshad, A., Sher, M., Nawaz, O., et al. (2017). A secure and provable multi-server authenticated key agreement for TMIS based on Amin et al. scheme. Multimedia Tools and Applications, 76(15), 16463–16489.

    Article  Google Scholar 

  2. Khan, I., Chaudhry, S. A., Sher, M., et al. (2018). An anonymous and provably secure biometric-based authentication scheme using chaotic maps for accessing medical drop box data. The Journal of Supercomputing, 74(8), 3685–3703.

    Article  Google Scholar 

  3. Akgün, M., & Çaǧlayan, M. U. (2015). Providing destructive privacy and scalability in RFID systems using PUFs. Ad Hoc Networks, 32(9), 32–42.

    Article  Google Scholar 

  4. Su, C., Santoso, B., Li, Y., et al. (2017). Universally composable RFID mutual authentication. IEEE Transactions on Dependable and Secure Computing, 14(1), 83–94.

    Google Scholar 

  5. Srivastava, K., Awasthi, A. K., Kaul, S. D., et al. (2015). A hash based mutual RFID tag authentication protocol in telecare medicine information system. Journal of Medical Systems, 39(1), 153–157.

    Article  Google Scholar 

  6. Li, C. T., Weng, C. Y., & Lee, C. C. (2015). A secure RFID tag authentication protocol with privacy preserving in telecare medicine information system. Journal of Medical Systems, 39(8), 77–84.

    Article  Google Scholar 

  7. Wu, F., Xu, L., Kumari, S., et al. (2018). A lightweight and anonymous RFID tag authentication protocol with cloud assistance for e-healthcare applications. Journal of Ambient Intelligence and Humanized Computing, 9(4), 919–930.

    Article  Google Scholar 

  8. Cho, J. S., Jeong, Y. S., & Park, S. O. (2015). Consideration on the brute-force attack cost and retrieval cost: A hash-based radio-frequency identification (RFID) tag mutual authentication protocol. Computers and Mathematics with Applications, 69(1), 58–65.

    Article  MATH  Google Scholar 

  9. Dehkordi, M. H., & Farzaneh, Y. (2014). Improvement of the hash-based RFID mutual authentication protocol. Wireless Personal Communications, 75(1), 219–232.

    Article  Google Scholar 

  10. Alavi, S. M., Baghery, K., & Abdolmaleki, B. (2015). Traceability analysis of recent RFID authentication protocols. Wireless Personal Communications, 83(3), 1663–1682.

    Article  Google Scholar 

  11. Fan, K., Gong, Y., Liang, C., et al. (2016). Lightweight and ultralightweight RFID mutual authentication protocol with cache in the reader for IoT in 5G. Security and Communication Networks, 9(16), 3095–3104.

    Article  Google Scholar 

  12. Aghili, S. F., Ashouri-Talouki, M., & Mala, H. (2018). DoS, impersonation and de-synchronization attacks against an ultra-lightweight RFID mutual authentication protocol for IoT. The Journal of Supercomputing, 74(1), 509–525.

    Article  Google Scholar 

  13. Farash, M. S., Nawaz, O., Mahmood, K., et al. (2016). A provably secure RFID authentication protocol based on elliptic curve for healthcare environments. Journal of Medical Systems, 40(7), 165–171.

    Article  Google Scholar 

  14. Sundaresan, S., Doss, R., Piramuthu, S., et al. (2015). Secure tag search in RFID systems using mobile readers. IEEE Transactions on Dependable and Secure Computing, 12(2), 230–242.

    Article  Google Scholar 

  15. Jannati, H., & Bahrak, B. (2016). Security analysis of an RFID tag search protocol. Information Processing Letters, 116(10), 618–622.

    Article  Google Scholar 

  16. Pourpouneh, M., Ramezanian, R., & Salahi, F. (2014). An improvement over a server-less RFID authentication protocol. International Journal of Computer Network and Information Security, 7(1), 31–37.

    Article  Google Scholar 

  17. Shahrbabak, M. M., & Abdolmaleky, S. (2016). SRMAP and ISLAP authentication protocols: Attacks and improvements. IACR Cryptology ePrint Archive, 2016, 731–741.

    Google Scholar 

  18. Shen, J., Tan, H., Zhang, Y., et al. (2017). A new lightweight RFID grouping authentication protocol for multiple tags in mobile environment. Multimedia Tools and Applications, 76(21), 22761C22783.

    Google Scholar 

  19. Avoine, G., Bingöl, M. A., Carpent, X., et al. (2013). Privacy-friendly authentication in RFID systems: on sublinear protocols based on symmetric-key cryptography. IEEE Transactions on Mobile Computing, 12(10), 2037–2049.

    Article  Google Scholar 

  20. Li, T., Luo, W., Mo, Z., et al. (2012). Privacy-preserving RFID authentication based on cryptographical encoding. In 2012 Proceedings IEEE INFOCOM (pp. 2174–2182).

  21. Deng, G., Li, H., Zhang, Y., et al. (2013). Tree-LSHB+: An LPN-based lightweight mutual authentication RFID protocol. Wireless Personal Communications, 72(1), 159–174.

    Article  Google Scholar 

  22. Avoine, G., Buttyant, L., Holczer, T., et al. (2007). Group-based private authentication. In IEEE international symposium on world of wireless, mobile and multimedia networks (WoWMoM) (pp. 1–6).

  23. Rahman, F., Hoque, M. E., & Ahamed, S. I. (2017). Anonpri: A secure anonymous private authentication protocol for RFID systems. Information Sciences, 379(2), 195–210.

    Article  Google Scholar 

  24. Sun, M. T., Sakai, K., & Ku, W. S. (2016). Private and secure tag access for large-scale RFID systems. IEEE Transactions on Dependable and Secure Computing, 13(6), 657–671.

    Article  Google Scholar 

  25. Vaudenay, S. (2007). On privacy models for RFID. In 13th international conference on the theory and application of cryptology and information security (pp. 68–87).

    Chapter  Google Scholar 

  26. Cao, T., Chen, X., Doss, R., et al. (2016). RFID ownership transfer protocol based on cloud. Computer Networks, 105(8), 47–59.

    Article  Google Scholar 

  27. He, D., & Zeadally, S. (2015). An analysis of RFID authentication schemes for internet of things in healthcare environment using elliptic curve cryptography. IEEE Internet of Things Journal, 2(1), 72–83.

    Article  Google Scholar 

  28. Ibrahim, A., & Dalkilic, G. (2017). Review of different classes of RFID authentication protocols. Wireless Networks, 2017(4), 1–14.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Internet of Things Engineering, Jiangnan University, Wuxi, 214122, China

    Ping Wang & Zhiping Zhou

  2. Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Jiangnan University, Wuxi, 214122, China

    Zhiping Zhou

Authors
  1. Ping Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Zhiping Zhou
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Zhiping Zhou.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wang, P., Zhou, Z. An Improved RFID Authentication Protocol Based on Group Anonymous Model. Wireless Pers Commun 103, 2811–2831 (2018). https://doi.org/10.1007/s11277-018-5964-2

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-018-5964-2

Keywords

Search

Navigation