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Research on Medical Security System Based on Zero Trust

With the rapid development of Internet of Things technology, cloud computing, and big data, the combination of medical systems and information technology has become increasingly close. However, the emergence of intelligent medical systems has brought a series of network security threats and hidden d...

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Detalles Bibliográficos
Autores principales: Wang, Zhiqiang, Yu, Xinyue, Xue, Peiyang, Qu, Yunhan, Ju, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10098781/
https://www.ncbi.nlm.nih.gov/pubmed/37050834
http://dx.doi.org/10.3390/s23073774
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author Wang, Zhiqiang
Yu, Xinyue
Xue, Peiyang
Qu, Yunhan
Ju, Lei
author_facet Wang, Zhiqiang
Yu, Xinyue
Xue, Peiyang
Qu, Yunhan
Ju, Lei
author_sort Wang, Zhiqiang
collection PubMed
description With the rapid development of Internet of Things technology, cloud computing, and big data, the combination of medical systems and information technology has become increasingly close. However, the emergence of intelligent medical systems has brought a series of network security threats and hidden dangers, including data leakage and remote attacks, which can directly threaten patients’ lives. To ensure the security of medical information systems and expand the application of zero trust in the medical field, we combined the medical system with the zero-trust security system to propose a zero-trust medical security system. In addition, in its dynamic access control module, based on the RBAC model and the calculation of user behavior risk value and trust, an access control model based on subject behavior evaluation under zero-trust conditions (ABEAC) was designed to improve the security of medical equipment and data. Finally, the feasibility of the system is verified through a simulation experiment.
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spelling pubmed-100987812023-04-14 Research on Medical Security System Based on Zero Trust Wang, Zhiqiang Yu, Xinyue Xue, Peiyang Qu, Yunhan Ju, Lei Sensors (Basel) Article With the rapid development of Internet of Things technology, cloud computing, and big data, the combination of medical systems and information technology has become increasingly close. However, the emergence of intelligent medical systems has brought a series of network security threats and hidden dangers, including data leakage and remote attacks, which can directly threaten patients’ lives. To ensure the security of medical information systems and expand the application of zero trust in the medical field, we combined the medical system with the zero-trust security system to propose a zero-trust medical security system. In addition, in its dynamic access control module, based on the RBAC model and the calculation of user behavior risk value and trust, an access control model based on subject behavior evaluation under zero-trust conditions (ABEAC) was designed to improve the security of medical equipment and data. Finally, the feasibility of the system is verified through a simulation experiment. MDPI 2023-04-06 /pmc/articles/PMC10098781/ /pubmed/37050834 http://dx.doi.org/10.3390/s23073774 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wang, Zhiqiang
Yu, Xinyue
Xue, Peiyang
Qu, Yunhan
Ju, Lei
Research on Medical Security System Based on Zero Trust
title Research on Medical Security System Based on Zero Trust
title_full Research on Medical Security System Based on Zero Trust
title_fullStr Research on Medical Security System Based on Zero Trust
title_full_unstemmed Research on Medical Security System Based on Zero Trust
title_short Research on Medical Security System Based on Zero Trust
title_sort research on medical security system based on zero trust
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10098781/
https://www.ncbi.nlm.nih.gov/pubmed/37050834
http://dx.doi.org/10.3390/s23073774
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