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Secure and Anonymous Three-Factor Authentication Scheme for Remote Healthcare Systems

Munayfah Alanazi*, Shadi Nashwan
Department of Computer Science, College of Computer and Information Sciences, Jouf University, Sakaka, 42421, Saudi Arabia
* Corresponding Author: Munayfah Alanazi. Email:

Computer Systems Science and Engineering 2022, 42(2), 703-725. https://doi.org/10.32604/csse.2022.022962

Received 24 August 2021; Accepted 25 September 2021; Issue published 04 January 2022

Abstract

Wireless medical sensor networks (WMSNs) play a significant role in increasing the availability of remote healthcare systems. The vital and physiological data of the patient can be collected using the WMSN via sensor nodes that are placed on his/her body and then transmitted remotely to a healthcare professional for proper diagnosis. The protection of the patient’s privacy and their data from unauthorized access is a major concern in such systems. Therefore, an authentication scheme with a high level of security is one of the most effective mechanisms by which to address these security concerns. Many authentication schemes for remote patient monitoring have been proposed recently. However, the majority of these schemes are extremely vulnerable to attacks and are unsuitable for practical use. This paper proposes a secure three-factor authentication scheme for a patient-monitoring healthcare system that operates remotely using a WMSN. The proposed authentication scheme is formally verified using the Burrows, Abadi and Needham’s (BAN) logic model and an automatic cryptographic protocol verifier (ProVerif) tool. We show that our authentication scheme can prevent relevant types of security breaches in a practical context according to the discussed possible attack scenarios. Comparisons of the security and performance are carried out with recently proposed authentication schemes. The results of the analysis show that the proposed authentication scheme is secure and practical for use, with reasonable storage space, computation, and communication efficiency.

Keywords

Mutual authentication; biometric feature; perfect forward secrecy; user anonymity; proVerif tool; BAN logic model

Cite This Article

M. Alanazi and S. Nashwan, "Secure and anonymous three-factor authentication scheme for remote healthcare systems," Computer Systems Science and Engineering, vol. 42, no.2, pp. 703–725, 2022.



This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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