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An efficient privacy-preserving authentication scheme with adaptive key evolution in remote health monitoring system

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Abstract

The remote health monitoring system enables a doctor to diagnose and monitor health problems anywhere for a patient. However, since the patient health information is very sensitive and the Internet is unsecure and prone to many attacks, data can be easily compromised by adversaries. Worse, the mobile phone is also easy to be compromised. Clearly, these issues have brought different privacy and security requirements in wireless healthcare. To address these challenging issues, in this paper, we propose an efficient privacy-preserving authentication scheme with adaptive key evolution, which can prevent illegal access to the patient’s vital signs. Furthermore, we model the leakage process of the key information to set proper key renewal interval, which can adaptively control the key evolution to balance the trade-off between the communication efficiency and security level. The security analysis demonstrates that our scheme can achieve authenticated key agreement, perfect and strong key insulation, privacy preservation, and other important security goals, e.g. authenticity, integrity and freshness of transmitted messages. The performance evaluation shows that our scheme is computationally efficient for the typical mobile phone with limited resources, and it has low communication overhead.

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Acknowledgments

Authors would like to thank Daojing He and Xiaofen Wang for comments on an earlier draft related to this paper. Also, authors would like to thank the student, Dianhua Tang, for his collaboration in performing the performance evaluation.

This work is supported by the Korea-China Young Scientist Exchange Program, the National Natural Science Foundation of China under Grants U1233108, U1333127 and 61103207, the Fundamental Research Funds for Chinese Central Universities under Grant ZYGX2011J059, the International Science and Technology Cooperation and Exchange Program of Sichuan Province under Grant 2014HH0029, the Huawei Company Innovation Research Program under contract IRP-2012-04-03, and the National Research Foundation of Korea under Grant NRF-2010-0021575.

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Authors and Affiliations

  1. School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China

    Haomiao Yang

  2. Department of Cyber-Security, Kyungil University, Kyungsansi, Kyungpook Province, Korea

    Hyunsung Kim & Kambombo Mtonga

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  1. Haomiao Yang
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Correspondence to Haomiao Yang.

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Yang, H., Kim, H. & Mtonga, K. An efficient privacy-preserving authentication scheme with adaptive key evolution in remote health monitoring system. Peer-to-Peer Netw. Appl. 8, 1059–1069 (2015). https://doi.org/10.1007/s12083-014-0299-6

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  • DOI: https://doi.org/10.1007/s12083-014-0299-6

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