Skip to main content
Log in

Security Analysis and Enhancement of the Most Recent RFID Protocol for Telecare Medicine Information System

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

Radio-frequency Identification (RFID) schemes have been widely adopted in medical healthcare environments such as telecare medicine information system (TMIS). There are many research focus in the privacy protection of medical information security with cloud computing and big data technologies. This paper deeply identified the attacks of two RFID protocols in the literature. Fan et al.’s protocol (LRMP) and Benssalah et al.’s scheme (TMISP) both are subjected to tracking attacks, tag impersonation attacks, reader impersonation attacks. LRMP protocol suffers from de-synchronization attacks. In order to solve main weaknesses, the article presents a RFID medical privacy protection scheme based on cloud computing. The scheme ensures security and privacy of the collected data via secure authentication. The security analysis and performance evaluation shows that the proposed scheme can effectively solve security and privacy weaknesses, and resist against forward traceable attacks and backward traceable attacks.

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

Access this article

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

Instant access to the full article PDF.

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

Similar content being viewed by others

References

  1. Pérez, M. M., Dafonte, C., & Ángel, Gómez. (2018). Traceability in patient healthcare through the integration of RFID technology in an ICU in a hospital. Sensors, 18(5), 1627.

    Article  Google Scholar 

  2. Kuhn, M. F., Breier, G. P., Dias, A. R. P., et al. (2018). A novel RFID-based strain sensor for wireless structural health monitoring. Journal of Nondestructive Evaluation, 37(2), 22.

    Article  Google Scholar 

  3. Yoo, S., Hwang, H., & Jheon, S. (2016). Hospital information systems: experience at the fully digitized Seoul National University Bundang Hospital. Journal of Thoracic Disease, 8(Suppl 8), S637.

    Article  Google Scholar 

  4. Benssalah, M., Djeddou, M., & Drouiche, K. (2017). A provably secure RFID authentication protocol based on elliptic curve signature with message recovery suitable for m-Health environments. Transactions on Emerging Telecommunications Technologies, 28(11), e3166.

    Article  Google Scholar 

  5. Rodrigues, J. J. P. C., Silva, B. M. C., Saleem, K., et al. (2016). An IoT-based mobile gateway for intelligent personal assistants on mobile health environments. Journal of Network & Computer Applications, 71(C), 194–204.

    Google Scholar 

  6. Kumar, N., Kaur, K., Misra, S. C., et al. (2016). An intelligent RFID-enabled authentication scheme for healthcare applications in vehicular mobile cloud. Peer-to-Peer Networking and Applications, 9(5), 824–840.

    Article  Google Scholar 

  7. Benssalah, M., Djeddou, M., & Drouiche, K. (2017). Security analysis and enhancement of the most recent RFID authentication protocol for telecare medicine information system. Wireless Personal Communications, 96(4), 6221–6238.

    Article  Google Scholar 

  8. 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), 1–8.

    Article  Google Scholar 

  9. Srivastava, K., Awasthi, A. K., Kaul, S. D., & Mittal, R. C. (2015). A hash based mutual RFID tag authentication protocol in telecare medicine information system. Journal of Medical Systems, 39(1), 1–5.

    Article  Google Scholar 

  10. Kardaş, S., Çelik, S., Arslan, A., et al. (2013). An efficient and private RFID authentication protocol supporting ownership transfer. Lightweight cryptography for security and privacy (pp. 130–141). Berlin: Springer.

    MATH  Google Scholar 

  11. Ellouze, N., Rekhis, S., Boudriga, N., et al. (2018). Powerless security for cardiac implantable medical devices: Use of wireless identification and sensing platform. Journal of Network & Computer Applications, 107, 1–21.

    Article  Google Scholar 

  12. Adame, T., Bel, A., Carreras, A., et al. (2016). CUIDATS: An RFID–WSN hybrid monitoring system for smart health care environments. Future Generation Computer Systems, 78, 602–615.

    Article  Google Scholar 

  13. Xiao, F., Miao, Q., Xie, X., et al. (2018). SHMO: A seniors health monitoring system based on energy-free sensing. Computer Networks, 132, 108–117.

    Article  Google Scholar 

  14. Liang, W., Tao, G., Xian, P. T., et al. (2016). Toward a wearable RFID system for real-time activity recognition using radio patterns. IEEE Transactions on Mobile Computing, 16(1), 228–242.

    Google Scholar 

  15. Marouf, F. Z., & Kerarti, D. Z. (2018). Study and design of wristband RFID antenna for healthcare applications. Microwave & Optical Technology Letters, 60(2), 359–364.

    Article  Google Scholar 

  16. Rahman, F., Bhuiyan, M. Z. A., & Ahamed, S. I. (2016). A privacy preserving framework for RFID based healthcare systems. Future Generation Computer Systems, 72, 339–352.

    Article  Google Scholar 

  17. Fan, K., Jiang, W., Li, H., et al. (2018). Lightweight RFID protocol for medical privacy protection in IoT. IEEE Transactions on Industrial Informatics, 14, 1656–1665.

    Article  Google Scholar 

Download references

Acknowledgements

This work is supported in part by Jiangsu Postdoctoral Science Foundation (Grant Nos. 1701061B, 2017107007); Xuzhou Medical University Affiliated Hospital Postdoctoral Science Foundation (Grant No. 2016107011); Xuzhou Medical University Excellent Persons Scientific Research Foundation (Grant Nos. D2016006, D2016007, 53591506); The Practice Inovation Trainng Program Projects for the Jiangsu College Students (Grant Nos. 20161031308H, 201610313043Y); The Natural Science Foundation of the Jiangsu Higher Education Institutions of China (Grant No. 16KJB180028); Educational Commission of Jiangsu Province of China (Grant No. 2015JSJJG261); 333 Project of Jiangsu Province (No. BRA2017278).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Xiuqing Chen.

Ethics declarations

Conflict of interest

The authors declare no conflict of interest.

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

Chen, X., Geng, D., Zhai, J. et al. Security Analysis and Enhancement of the Most Recent RFID Protocol for Telecare Medicine Information System. Wireless Pers Commun 114, 1371–1387 (2020). https://doi.org/10.1007/s11277-020-07424-w

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-020-07424-w

Keywords

Navigation