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Research Article | Open Access |

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) · Vol. 13, No. 5 · Published 2022

DOI: https://doi.org/10.14569/IJACSA.2022.0130515

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

How to Cite this Article

Eom, G., Byeon, H., & Choi, Y. (2022). Security Analysis on an Improved Anonymous Authentication Protocol for Wearable Health Monitoring Systems. International Journal of Advanced Computer Science and Applications, 13(5). https://doi.org/10.14569/IJACSA.2022.0130515

Eom, Gayeong, et al.. "Security Analysis on an Improved Anonymous Authentication Protocol for Wearable Health Monitoring Systems." International Journal of Advanced Computer Science and Applications, vol. 13, no. 5, 2022, https://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},
  volume    = {13},
  number    = {5},
  year      = {2022},
  publisher = {The Science and Information Organization},
  author    = {Gayeong Eom and Haewon Byeon and Younsung Choi},
  doi       = {10.14569/IJACSA.2022.0130515},
  url       = {https://doi.org/10.14569/IJACSA.2022.0130515}
}

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