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https://doi.org/10.1007/s11517-023-02912-0


Título: | Security vulnerabilities in healthcare: an analysis of medical devices and software |
Fecha de publicación: | 4-oct-2023 |
Editorial: | Springer |
Cita bibliográfica: | Medical & Biological Engineering & Computing (2024) 62:257–273 |
ISSN: | Print: 0140-0118 Electronic: 1741-0444 |
Palabras clave: | Software security Vulnerability databases Descriptive study Software vulnerabilities in health |
Resumen: | The integration of IoT in healthcare has introduced vulnerabilities in medical devices and software, posing risks to patient safety and system integrity. This study aims to bridge the research gap and provide valuable insights for addressing healthcare vulnerabilities and their mitigation mechanisms. Software vulnerabilities related to health systems from 2001 to 2022 were collected from the National Vulnerability Database (NVD) systematized by software developed by the researchers and assessed by a medical specialist for their impact on patient well-being. The analysis revealed electronic health records, wireless infusion pumps, endoscope cameras, and radiology information systems as the most vulnerable. In addition, critical vulnerabilities were identified, including poor credential management and hard-coded credentials. The investigation provides some insights into the consequences of vulnerabilities in health software products, projecting future security issues by 2025, offers mitigation suggestions, and highlights trends in attacks on life support and health systems are also provided. The healthcare industry needs significant improvements in protecting medical devices from cyberattacks. Securing communication channels and network schema and adopting secure software practices is necessary. In addition, collaboration, regulatory adherence, and continuous security monitoring are crucial. Industries, researchers, and stakeholders can utilize these findings to enhance security and safeguard patient safety. |
Autor/es principal/es: | Mejía‑Granda, Carlos M. Fernández‑Alemán, José Luis Carrillo‑de‑Gea, Juan M. García‑Berná, José A. |
Facultad/Departamentos/Servicios: | Facultades, Departamentos, Servicios y Escuelas::Departamentos de la UMU::Informática y Sistemas |
Forma parte de: | OASSIS-UMU (PID2021-122554OB-C32) |
Versión del editor: | https://link.springer.com/article/10.1007/s11517-023-02912-0 |
URI: | http://hdl.handle.net/10201/149261 |
DOI: | https://doi.org/10.1007/s11517-023-02912-0 |
Tipo de documento: | info:eu-repo/semantics/article |
Número páginas / Extensión: | 17 |
Derechos: | info:eu-repo/semantics/openAccess Atribución 4.0 Internacional |
Descripción: | © The Author(s) 2023. This manuscript version is made available under the CC-BY 4.0 license http://creativecommons.org/licenses/by/4.0/. This document is the Published version of a Published Work that appeared in final form in Medical and Biological Engineering and Computing (MBEC). To access the final edited and published work see https://doi.org/10.1007/s11517-023-02912-0 |
Aparece en las colecciones: | Artículos: Informática y Sistemas |
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s11517-023-02912-0.pdf | Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http:// creativecommons.org/licenses/by/4.0/. | 2,52 MB | Adobe PDF | ![]() Visualizar/Abrir |
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