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An Enhanced Mobile-Healthcare Emergency System Based on Extended Chaotic Maps

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Abstract

Mobile Healthcare (m-Healthcare) systems, namely smartphone applications of pervasive computing that utilize wireless body sensor networks (BSNs), have recently been proposed to provide smartphone users with health monitoring services and received great attentions. An m-Healthcare system with flaws, however, may leak out the smartphone user’s personal information and cause security, privacy preservation, or user anonymity problems. In 2012, Lu et al. proposed a secure and privacy-preserving opportunistic computing (SPOC) framework for mobile-Healthcare emergency. The brilliant SPOC framework can opportunistically gather resources on the smartphone such as computing power and energy to process the computing-intensive personal health information (PHI) in case of an m-Healthcare emergency with minimal privacy disclosure. To balance between the hazard of PHI privacy disclosure and the necessity of PHI processing and transmission in m-Healthcare emergency, in their SPOC framework, Lu et al. introduced an efficient user-centric privacy access control system which they built on the basis of an attribute-based access control mechanism and a new privacy-preserving scalar product computation (PPSPC) technique. However, we found out that Lu et al.’s protocol still has some secure flaws such as user anonymity and mutual authentication. To fix those problems and further enhance the computation efficiency of Lu et al.’s protocol, in this article, the authors will present an improved mobile-Healthcare emergency system based on extended chaotic maps. The new system is capable of not only providing flawless user anonymity and mutual authentication but also reducing the computation cost.

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Acknowledgments

The authors would like to express their appreciation to the anonymous referees for their valuable suggestions and comments. This research was partially supported by the National Science Council, Taiwan, R.O.C., under contract no.: NSC102-2221-E-030-003.

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Authors and Affiliations

  1. Department of Library and Information Science, Fu Jen Catholic University, 510 Jhongjheng Rd., Sinjhuang Dist., New Taipei City, 24205, Taiwan, Republic of China

    Cheng-Chi Lee, Che-Wei Hsu & Yan-Ming Lai

  2. Department of Computer and Telecommunications Engineering, University of Western Macedonia, Kozani, Greece

    Athanasios Vasilakos

Authors
  1. Cheng-Chi Lee
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  2. Che-Wei Hsu
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  3. Yan-Ming Lai
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  4. Athanasios Vasilakos
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Correspondence to Cheng-Chi Lee.

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Lee, CC., Hsu, CW., Lai, YM. et al. An Enhanced Mobile-Healthcare Emergency System Based on Extended Chaotic Maps. J Med Syst 37, 9973 (2013). https://doi.org/10.1007/s10916-013-9973-0

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