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Secure data authentication and access control protocol for industrial healthcare system

Because of recent COVID-19 epidemic, the Internet-of-Medical-Things (IoMT) has acquired a significant impetus to diagnose patients remotely, regulate medical equipment, and track quarantined patients via smart electronic devices installed at the patient’s end. Nevertheless, the IoMT confronts variou...

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Autores principales: Gupta, Daya Sagar, Mazumdar, Nabajyoti, Nag, Amitava, Singh, Jyoti Prakash
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9838518/
https://www.ncbi.nlm.nih.gov/pubmed/36684481
http://dx.doi.org/10.1007/s12652-022-04370-2
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author Gupta, Daya Sagar
Mazumdar, Nabajyoti
Nag, Amitava
Singh, Jyoti Prakash
author_facet Gupta, Daya Sagar
Mazumdar, Nabajyoti
Nag, Amitava
Singh, Jyoti Prakash
author_sort Gupta, Daya Sagar
collection PubMed
description Because of recent COVID-19 epidemic, the Internet-of-Medical-Things (IoMT) has acquired a significant impetus to diagnose patients remotely, regulate medical equipment, and track quarantined patients via smart electronic devices installed at the patient’s end. Nevertheless, the IoMT confronts various security and privacy issues, such as entity authentication, confidentiality, and integrity of health-related data, among others, rendering this technology vulnerable to different attacks. To address these concerns, a number of security procedures based on traditional cryptographic approaches, such as discrete logarithm and integer factorization problems, have been developed. All of these protocols, however, are vulnerable to quantum attacks. This paper, in this context, presents a data authentication and access control protocol for IoMT systems that can withstand quantum attacks. A comprehensive formal security assessment demonstrates that the proposed algorithm can endure both current and future threats. In terms of data computing, transmission, and key storage overheads, it also surpasses other related techniques.
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spelling pubmed-98385182023-01-17 Secure data authentication and access control protocol for industrial healthcare system Gupta, Daya Sagar Mazumdar, Nabajyoti Nag, Amitava Singh, Jyoti Prakash J Ambient Intell Humaniz Comput Original Research Because of recent COVID-19 epidemic, the Internet-of-Medical-Things (IoMT) has acquired a significant impetus to diagnose patients remotely, regulate medical equipment, and track quarantined patients via smart electronic devices installed at the patient’s end. Nevertheless, the IoMT confronts various security and privacy issues, such as entity authentication, confidentiality, and integrity of health-related data, among others, rendering this technology vulnerable to different attacks. To address these concerns, a number of security procedures based on traditional cryptographic approaches, such as discrete logarithm and integer factorization problems, have been developed. All of these protocols, however, are vulnerable to quantum attacks. This paper, in this context, presents a data authentication and access control protocol for IoMT systems that can withstand quantum attacks. A comprehensive formal security assessment demonstrates that the proposed algorithm can endure both current and future threats. In terms of data computing, transmission, and key storage overheads, it also surpasses other related techniques. Springer Berlin Heidelberg 2023-01-13 2023 /pmc/articles/PMC9838518/ /pubmed/36684481 http://dx.doi.org/10.1007/s12652-022-04370-2 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Research
Gupta, Daya Sagar
Mazumdar, Nabajyoti
Nag, Amitava
Singh, Jyoti Prakash
Secure data authentication and access control protocol for industrial healthcare system
title Secure data authentication and access control protocol for industrial healthcare system
title_full Secure data authentication and access control protocol for industrial healthcare system
title_fullStr Secure data authentication and access control protocol for industrial healthcare system
title_full_unstemmed Secure data authentication and access control protocol for industrial healthcare system
title_short Secure data authentication and access control protocol for industrial healthcare system
title_sort secure data authentication and access control protocol for industrial healthcare system
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9838518/
https://www.ncbi.nlm.nih.gov/pubmed/36684481
http://dx.doi.org/10.1007/s12652-022-04370-2
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