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A lightweight and anonymous RFID tag authentication protocol with cloud assistance for e-healthcare applications

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Abstract

As an important part of Internet of Things, Radio Frequency Identification (RFID) system employs low-cost RFID tag to communicate with everything containing animate and inanimate objects. This technology is widely used in the e-healthcare applications. However, the malicious communication environment makes people more and more worried. In order to overcome the hazards in the network, RFID authentication schemes for e-healthcare have been proposed by researchers. But since the computation ability of the tag is relatively weak, it is necessary to put forward a lightweight and secure scheme for medical systems. Moreover, cloud is widely accepted by people and used in many kinds of systems. So we propose a novel and lightweight RFID authentication scheme with cloud for e-healthcare applications. We use an enhanced formal security model to prove the security of our scheme. In this model the channel between the server and the reader is considered to be insecure and informal analysis is used to prove the security of the proposed scheme. Through the formal and informal analysis, our scheme not only resists the common attacks, but also keeps mutual authentication, information integrity, forward untraceability and backward untraceability. Moreover, both the tag and the reader can reach the anonymity. Our scheme is only hash-based and suitable to realize various security requirements. Compared to recent schemes of the same sort, it is more applicable in e-healthcare.

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Acknowledgements

This research is supported by Fujian Education and Scientific Research Program for Young and Middle-aged Teachers under Grant No. JA14369, University Distinguished Young Research Talent Training Program of Fujian Province (Year 2016), and the this work was supported by the National Natural Science Foundation of China under Grant No. 61300220, and the Scientific Research Fund of Hunan Provincial Education Department under Grant No. 16B089. Also, it is supported by PAPD and CICAEET. Moreover, Dr. Saru Kumari is sponsored by the University Grants Commission, India through UGC-BSR Start-up grant under Grant No. 3(A)(60)31.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Xiamen Institute of Technology, Xiamen, 361021, China

    Fan Wu

  2. School of Information Science and Technology, Xiamen University, Xiamen, 361005, China

    Lili Xu

  3. Department of Mathematics, Chaudhary Charan Singh University, Meerut, Uttar Pradesh, 250005, India

    Saru Kumari

  4. School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan, 411201, China

    Xiong Li

  5. Center for Security, Theory and Algorithmic Research, International Institute of Information Technology, Hyderabad, 500032, India

    Ashok Kumar Das

  6. School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, 210044, China

    Jian Shen

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  1. Fan Wu
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  2. Lili Xu
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  4. Xiong Li
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Correspondence to Fan Wu.

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Wu, F., Xu, L., Kumari, S. et al. A lightweight and anonymous RFID tag authentication protocol with cloud assistance for e-healthcare applications. J Ambient Intell Human Comput 9, 919–930 (2018). https://doi.org/10.1007/s12652-017-0485-5

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  • DOI: https://doi.org/10.1007/s12652-017-0485-5

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