A Lightweight and Robust User Authentication Protocol with User Anonymity for IoT-Based Healthcare

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dc.authoridhttps://orcid.org/0000-0002-6502-472Xen_US
dc.authoridhttps://orcid.org/0000-0002-9321-6956en_US
dc.authoridhttps://orcid.org/0000-0002-1351-898Xen_US
dc.contributor.authorChen, Chien-Ming
dc.contributor.authorLiu, Shuangshuang
dc.contributor.authorChaudhry, Shehzad Ashraf
dc.contributor.authorChen, Yeh-Cheng
dc.contributor.authorKhan, Muhammad Asghar
dc.date.accessioned2023-10-04T15:26:27Z
dc.date.available2023-10-04T15:26:27Z
dc.date.issued2022en_US
dc.departmentMühendislik ve Mimarlık Fakültesien_US
dc.description.abstractWith the rise of the Internet of Things (IoT), the word “intelligent medical care” has increasingly become a major vision. Intelligent medicine adopts the most advanced IoT technology to realize the interaction between patients and people, medical institutions, and medical equipment. However, with the openness of network transmission, the security and privacy of information transmission have become a major problem. Recently, Masud et al. proposed a lightweight anonymous user authentication protocol for IoT medical treatment, claiming that their method can resist various attacks. However, through analysis of the protocol, we observed that their protocol cannot effectively resist privileged internal attacks, sensor node capture attacks, and stolen authentication attacks, and their protocol does not have perfect forward security. Therefore, we propose a new protocol to resolve the security vulnerabilities in Masud’s protocol and remove some redundant parameters, so as to make the protocol more compact and secure. In addition, we evaluate the security and performance of the new protocol and prove that the overall performance of the new protocol is better than that of other related protocols.en_US
dc.identifier.doi10.32604/cmes.2022.018749en_US
dc.identifier.endpage329en_US
dc.identifier.issn1526-1492
dc.identifier.issn1526-1506
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-85123785138en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage307en_US
dc.identifier.urihttps://hdl.handle.net/11363/5748
dc.identifier.urihttps://doi.org/
dc.identifier.volume131en_US
dc.identifier.wosWOS:000741515100001en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorChaudhry, Shehzad Ashraf
dc.language.isoenen_US
dc.publisherTECH SCIENCE PRESS, 871 CORONADO CENTER DR, SUTE 200, HENDERSON, NV 89052en_US
dc.relation.ispartofComputer Modeling in Engineering & Sciencesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectIoTen_US
dc.subjectintelligent medicalen_US
dc.subjectuser authenticationen_US
dc.titleA Lightweight and Robust User Authentication Protocol with User Anonymity for IoT-Based Healthcareen_US
dc.typeArticleen_US

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