Toward the Integration of Cyber and Physical Security Monitoring Systems for Critical Infrastructures

Critical Infrastructures (CIs) are sensible targets. They could be physically damaged by natural or human actions, causing service disruptions, economic losses, and, in some extreme cases, harm to people. They, therefore, need a high level of protection against possible unintentional and intentional...

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Autores principales:	Alessandro Fausto, Giovanni Battista Gaggero, Fabio Patrone, Paola Girdinio, Mario Marchese
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	critical infrastructure cybersecurity physical security anomaly detection machine learning Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/f71a1211fb2a405d83f82b6a9dfa632f
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spelling	oai:doaj.org-article:f71a1211fb2a405d83f82b6a9dfa632f2021-11-11T19:01:10ZToward the Integration of Cyber and Physical Security Monitoring Systems for Critical Infrastructures10.3390/s212169701424-8220https://doaj.org/article/f71a1211fb2a405d83f82b6a9dfa632f2021-10-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/21/6970https://doaj.org/toc/1424-8220Critical Infrastructures (CIs) are sensible targets. They could be physically damaged by natural or human actions, causing service disruptions, economic losses, and, in some extreme cases, harm to people. They, therefore, need a high level of protection against possible unintentional and intentional events. In this paper, we show a logical architecture that exploits information from both physical and cybersecurity systems to improve the overall security in a power plant scenario. We propose a Machine Learning (ML)-based anomaly detection approach to detect possible anomaly events by jointly correlating data related to both the physical and cyber domains. The performance evaluation showed encouraging results—obtained by different ML algorithms—which highlights how our proposed approach is able to detect possible abnormal situations that could not have been detected by using only information from either the physical or cyber domain.Alessandro FaustoGiovanni Battista GaggeroFabio PatronePaola GirdinioMario MarcheseMDPI AGarticlecritical infrastructurecybersecurityphysical securityanomaly detectionmachine learningChemical technologyTP1-1185ENSensors, Vol 21, Iss 6970, p 6970 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	critical infrastructure cybersecurity physical security anomaly detection machine learning Chemical technology TP1-1185
spellingShingle	critical infrastructure cybersecurity physical security anomaly detection machine learning Chemical technology TP1-1185 Alessandro Fausto Giovanni Battista Gaggero Fabio Patrone Paola Girdinio Mario Marchese Toward the Integration of Cyber and Physical Security Monitoring Systems for Critical Infrastructures
description	Critical Infrastructures (CIs) are sensible targets. They could be physically damaged by natural or human actions, causing service disruptions, economic losses, and, in some extreme cases, harm to people. They, therefore, need a high level of protection against possible unintentional and intentional events. In this paper, we show a logical architecture that exploits information from both physical and cybersecurity systems to improve the overall security in a power plant scenario. We propose a Machine Learning (ML)-based anomaly detection approach to detect possible anomaly events by jointly correlating data related to both the physical and cyber domains. The performance evaluation showed encouraging results—obtained by different ML algorithms—which highlights how our proposed approach is able to detect possible abnormal situations that could not have been detected by using only information from either the physical or cyber domain.
format	article
author	Alessandro Fausto Giovanni Battista Gaggero Fabio Patrone Paola Girdinio Mario Marchese
author_facet	Alessandro Fausto Giovanni Battista Gaggero Fabio Patrone Paola Girdinio Mario Marchese
author_sort	Alessandro Fausto
title	Toward the Integration of Cyber and Physical Security Monitoring Systems for Critical Infrastructures
title_short	Toward the Integration of Cyber and Physical Security Monitoring Systems for Critical Infrastructures
title_full	Toward the Integration of Cyber and Physical Security Monitoring Systems for Critical Infrastructures
title_fullStr	Toward the Integration of Cyber and Physical Security Monitoring Systems for Critical Infrastructures
title_full_unstemmed	Toward the Integration of Cyber and Physical Security Monitoring Systems for Critical Infrastructures
title_sort	toward the integration of cyber and physical security monitoring systems for critical infrastructures
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/f71a1211fb2a405d83f82b6a9dfa632f
work_keys_str_mv	AT alessandrofausto towardtheintegrationofcyberandphysicalsecuritymonitoringsystemsforcriticalinfrastructures AT giovannibattistagaggero towardtheintegrationofcyberandphysicalsecuritymonitoringsystemsforcriticalinfrastructures AT fabiopatrone towardtheintegrationofcyberandphysicalsecuritymonitoringsystemsforcriticalinfrastructures AT paolagirdinio towardtheintegrationofcyberandphysicalsecuritymonitoringsystemsforcriticalinfrastructures AT mariomarchese towardtheintegrationofcyberandphysicalsecuritymonitoringsystemsforcriticalinfrastructures
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Toward the Integration of Cyber and Physical Security Monitoring Systems for Critical Infrastructures

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