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DOI: 10.14569/IJACSA.2022.0130515
PDF

Security Analysis on an Improved Anonymous Authentication Protocol for Wearable Health Monitoring Systems

Author 1: Gayeong Eom
Author 2: Haewon Byeon
Author 3: Younsung Choi

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 13 Issue 5, 2022.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: The wearable health monitoring system (WHMS) plays a significant role in medical experts collecting and using patient medical data. The WHMS is becoming more popular than in the past through mobile devices due to meaningful progress in wireless sensor networks. However, because the data about health used by the WHMS is related to privacy, it has to be protected from malicious access when wirelessly transmitted. Jiang et al. proposed a two-factor suitable for WHMSs using a fuzzy verifier. However, Jiaqing Mo et al. revealed that the protocol proposed by Jiang et al. had various security vulnerabilities and proposed an authentication protocol with improved security and guaranteed anonymity for WHMSs. In this paper, we analyse the authentication protocol proposed by Jiaqing Mo et al. and determine problems with the offline identification, password guessing attacks, operation process bit mismatch, no perfect forward secrecy, no mutual authentication and insider attacks.

Keywords: Authentication protocol; health status; physiological data; security analysis; WHMS

Gayeong Eom, Haewon Byeon and Younsung Choi, “Security Analysis on an Improved Anonymous Authentication Protocol for Wearable Health Monitoring Systems” International Journal of Advanced Computer Science and Applications(IJACSA), 13(5), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0130515

@article{Eom2022,
title = {Security Analysis on an Improved Anonymous Authentication Protocol for Wearable Health Monitoring Systems},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0130515},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0130515},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {5},
author = {Gayeong Eom and Haewon Byeon and Younsung Choi}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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