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A Secure and Lightweight Three-Factor-Based Authentication Scheme for Smart Healthcare Systems †

Internet of Things (IoT) technology has recently been integrated with various healthcare devices to monitor patients’ health status and share it with their healthcare practitioners. Since healthcare data often contain personal and sensitive information, healthcare systems must provide a secure user...

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Detalles Bibliográficos
Autores principales: Ryu, Jihyeon, Kang, Dongwoo, Lee, Hakjun, Kim, Hyoungshick, Won, Dongho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7763045/
https://www.ncbi.nlm.nih.gov/pubmed/33322813
http://dx.doi.org/10.3390/s20247136
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author Ryu, Jihyeon
Kang, Dongwoo
Lee, Hakjun
Kim, Hyoungshick
Won, Dongho
author_facet Ryu, Jihyeon
Kang, Dongwoo
Lee, Hakjun
Kim, Hyoungshick
Won, Dongho
author_sort Ryu, Jihyeon
collection PubMed
description Internet of Things (IoT) technology has recently been integrated with various healthcare devices to monitor patients’ health status and share it with their healthcare practitioners. Since healthcare data often contain personal and sensitive information, healthcare systems must provide a secure user authentication scheme. Recently, Adavoudi-Jolfaei et al. and Sharma and Kalra proposed a lightweight protocol using hash function encryption only for user authentication on wireless sensor systems. In this paper, we found some weaknesses in target schemes. We propose a novel three-factor lightweight user authentication scheme that addresses these weaknesses and verifies the security of the proposed scheme using a formal verification tool called ProVerif. In addition, our proposed scheme outperforms other proposed symmetric encryption-based schemes or elliptic curve-based schemes.
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spelling pubmed-77630452020-12-27 A Secure and Lightweight Three-Factor-Based Authentication Scheme for Smart Healthcare Systems † Ryu, Jihyeon Kang, Dongwoo Lee, Hakjun Kim, Hyoungshick Won, Dongho Sensors (Basel) Article Internet of Things (IoT) technology has recently been integrated with various healthcare devices to monitor patients’ health status and share it with their healthcare practitioners. Since healthcare data often contain personal and sensitive information, healthcare systems must provide a secure user authentication scheme. Recently, Adavoudi-Jolfaei et al. and Sharma and Kalra proposed a lightweight protocol using hash function encryption only for user authentication on wireless sensor systems. In this paper, we found some weaknesses in target schemes. We propose a novel three-factor lightweight user authentication scheme that addresses these weaknesses and verifies the security of the proposed scheme using a formal verification tool called ProVerif. In addition, our proposed scheme outperforms other proposed symmetric encryption-based schemes or elliptic curve-based schemes. MDPI 2020-12-12 /pmc/articles/PMC7763045/ /pubmed/33322813 http://dx.doi.org/10.3390/s20247136 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ryu, Jihyeon
Kang, Dongwoo
Lee, Hakjun
Kim, Hyoungshick
Won, Dongho
A Secure and Lightweight Three-Factor-Based Authentication Scheme for Smart Healthcare Systems †
title A Secure and Lightweight Three-Factor-Based Authentication Scheme for Smart Healthcare Systems †
title_full A Secure and Lightweight Three-Factor-Based Authentication Scheme for Smart Healthcare Systems †
title_fullStr A Secure and Lightweight Three-Factor-Based Authentication Scheme for Smart Healthcare Systems †
title_full_unstemmed A Secure and Lightweight Three-Factor-Based Authentication Scheme for Smart Healthcare Systems †
title_short A Secure and Lightweight Three-Factor-Based Authentication Scheme for Smart Healthcare Systems †
title_sort secure and lightweight three-factor-based authentication scheme for smart healthcare systems †
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7763045/
https://www.ncbi.nlm.nih.gov/pubmed/33322813
http://dx.doi.org/10.3390/s20247136
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