José Luis Fernández-Alemán

Dr. José Luis Fernández-Alemán

Dept. of Informatics and Systems, Faculty of Computer Science, University of Murcia, Spain
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Research Focus & Metrics

Academic Career Length

24Years (2003-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 July 2017 in Journal of Biomedical Informatics
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Journal Article
Closed access
LSLamyae Sardi
Lamyae Sardi
AIAli Idri
Ali Idri
JFJosé Luis Fernández-Alemán
José Luis Fernández-Alemán

1 June 2013 in Journal of Biomedical Informatics
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Journal Article
Closed access
JFJosé Luis Fernández-Alemán
José Luis Fernández-Alemán
ISInmaculada Carrión Señor
Inmaculada Carrión Señor
PLPedro Ángel Oliver Lozoya
Pedro Ángel Oliver Lozoya
ATAmbrosio Toval
Ambrosio Toval

1 August 2019 in Computer Methods and Programs in Biomedicine
Verified
Journal Article
Closed access
MHMohamed Hosni
Mohamed Hosni
IAIbtissam Abnane
Ibtissam Abnane
AIAli Idri
Ali Idri
Juan Manuel Carrillo de GeaJuan Manuel Carrillo de Gea
Juan Manuel Carrillo de Gea
JFJosé Luis Fernández-Alemán
José Luis Fernández-Alemán

1 October 2020 in Computer Methods and Programs in Biomedicine
Verified
Journal Article
Closed access
HBH. Benhar
H. Benhar
AIA. Idri
A. Idri
JFJosé Luis Fernández-Alemán
José Luis Fernández-Alemán

21 November 2013 in Requirements Engineering
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Journal Article
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SOSofia Ouhbi
Sofia Ouhbi
AIAli Idri
Ali Idri
JFJosé Luis Fernández-Alemán
José Luis Fernández-Alemán
ATAmbrosio Toval
Ambrosio Toval

4 October 2023 in Medical & Biological Engineering & Computing
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Journal Article
Open access
PDF file
CMCarlos M. Mejía-Granda
Carlos M. Mejía-Granda
JFJosé Luis Fernández-Alemán
José Luis Fernández-Alemán
Juan Manuel Carrillo de GeaJuan Manuel Carrillo de Gea
Juan Manuel Carrillo de Gea
Alberto García BernáAlberto García Berná
Alberto García Berná
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. Graphical abstract