A Practical Experience Applying Security Audit Techniques in An Industrial Healthcare System

Healthcare institutions are an ever-innovative field, where modernization is advancing by leaps and bounds. This modernization, called “digitization”, brings with it some concerns that need to be taken into account. The aim of this work is to present away to combine the advantages of cybersecurity a...

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Detalles Bibliográficos
Autores: Gómez, Julián, Olivero González, Miguel Ángel, García García, Julián Alberto, Escalona Cuaresma, María José
Tipo de recurso: capítulo de libro
Estado:Versión aceptada para publicación
Fecha de publicación:2022
País:España
Institución:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/168828
Acceso en línea:https://hdl.handle.net/11441/168828
https://doi.org/10.1007/978-3-030-93453-8_1
Access Level:acceso abierto
Palabra clave:Artificial intelligence
Cybersecurity
Healthcare
Pentesting
Security
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spelling A Practical Experience Applying Security Audit Techniques in An Industrial Healthcare SystemGómez, JuliánOlivero González, Miguel ÁngelGarcía García, Julián AlbertoEscalona Cuaresma, María JoséArtificial intelligenceCybersecurityHealthcarePentestingSecurityHealthcare institutions are an ever-innovative field, where modernization is advancing by leaps and bounds. This modernization, called “digitization”, brings with it some concerns that need to be taken into account. The aim of this work is to present away to combine the advantages of cybersecurity and artificial intelligence to protect what is of most concern: electronic medical records and the privacy of patient data. Health-related data in healthcare systems are subject to strict regulations, such as the EU’s General Data Protection Regulation (GDPR), non-compliance with which imposes huge penalties and fines. Healthcare cybersecurity plays an important role in protecting this sensitive data, which is highly valuable to criminals. The methodology used to perform a security assessment process has been orchestrated with frameworks that make the audit process as comprehensive and organized as possible. The results of this study include a security audit on an industrial scenario currently in production. An exploitation and vulnerability analysis has been performed, and more that 450 vulnerabilities has been found. This chapter outlines a systematic approach using artificial intelligence to enable the system security team to facilitate the process of conducting a security audit taking into account the sensitivity of their systems.Springer NatureLenguajes y Sistemas InformáticosSpanish the Ministry of Science, Economy and UniversityAndalusian RegionalMinistry of Economy and Knowledge2022info:eu-repo/semantics/bookPartinfo:eu-repo/semantics/acceptedVersionapplication/pdfapplication/pdfhttps://hdl.handle.net/11441/168828https://doi.org/10.1007/978-3-030-93453-8_1reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésIllumination of Artificial Intelligence in Cybersecurity and ForensicsPID2019- 105455GB-C31NDT4.0 (US-1251532)https://link.springer.com/chapter/10.1007/978-3-030-93453-8_1info:eu-repo/semantics/openAccessoai:idus.us.es:11441/1688282026-06-17T12:51:07Z
dc.title.none.fl_str_mv A Practical Experience Applying Security Audit Techniques in An Industrial Healthcare System
title A Practical Experience Applying Security Audit Techniques in An Industrial Healthcare System
spellingShingle A Practical Experience Applying Security Audit Techniques in An Industrial Healthcare System
Gómez, Julián
Artificial intelligence
Cybersecurity
Healthcare
Pentesting
Security
title_short A Practical Experience Applying Security Audit Techniques in An Industrial Healthcare System
title_full A Practical Experience Applying Security Audit Techniques in An Industrial Healthcare System
title_fullStr A Practical Experience Applying Security Audit Techniques in An Industrial Healthcare System
title_full_unstemmed A Practical Experience Applying Security Audit Techniques in An Industrial Healthcare System
title_sort A Practical Experience Applying Security Audit Techniques in An Industrial Healthcare System
dc.creator.none.fl_str_mv Gómez, Julián
Olivero González, Miguel Ángel
García García, Julián Alberto
Escalona Cuaresma, María José
author Gómez, Julián
author_facet Gómez, Julián
Olivero González, Miguel Ángel
García García, Julián Alberto
Escalona Cuaresma, María José
author_role author
author2 Olivero González, Miguel Ángel
García García, Julián Alberto
Escalona Cuaresma, María José
author2_role author
author
author
dc.contributor.none.fl_str_mv Lenguajes y Sistemas Informáticos
Spanish the Ministry of Science, Economy and University
Andalusian RegionalMinistry of Economy and Knowledge
dc.subject.none.fl_str_mv Artificial intelligence
Cybersecurity
Healthcare
Pentesting
Security
topic Artificial intelligence
Cybersecurity
Healthcare
Pentesting
Security
description Healthcare institutions are an ever-innovative field, where modernization is advancing by leaps and bounds. This modernization, called “digitization”, brings with it some concerns that need to be taken into account. The aim of this work is to present away to combine the advantages of cybersecurity and artificial intelligence to protect what is of most concern: electronic medical records and the privacy of patient data. Health-related data in healthcare systems are subject to strict regulations, such as the EU’s General Data Protection Regulation (GDPR), non-compliance with which imposes huge penalties and fines. Healthcare cybersecurity plays an important role in protecting this sensitive data, which is highly valuable to criminals. The methodology used to perform a security assessment process has been orchestrated with frameworks that make the audit process as comprehensive and organized as possible. The results of this study include a security audit on an industrial scenario currently in production. An exploitation and vulnerability analysis has been performed, and more that 450 vulnerabilities has been found. This chapter outlines a systematic approach using artificial intelligence to enable the system security team to facilitate the process of conducting a security audit taking into account the sensitivity of their systems.
publishDate 2022
dc.date.none.fl_str_mv 2022
dc.type.none.fl_str_mv info:eu-repo/semantics/bookPart
info:eu-repo/semantics/acceptedVersion
format bookPart
status_str acceptedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/11441/168828
https://doi.org/10.1007/978-3-030-93453-8_1
url https://hdl.handle.net/11441/168828
https://doi.org/10.1007/978-3-030-93453-8_1
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Illumination of Artificial Intelligence in Cybersecurity and Forensics
PID2019- 105455GB-C31
NDT4.0 (US-1251532)
https://link.springer.com/chapter/10.1007/978-3-030-93453-8_1
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Springer Nature
publisher.none.fl_str_mv Springer Nature
dc.source.none.fl_str_mv reponame:idUS. Depósito de Investigación de la Universidad de Sevilla
instname:Universidad de Sevilla (US)
instname_str Universidad de Sevilla (US)
reponame_str idUS. Depósito de Investigación de la Universidad de Sevilla
collection idUS. Depósito de Investigación de la Universidad de Sevilla
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