Obtaining high preventive and resilience capacities in critical infrastructure by industrial automation cells
The advances in Information Technologies (ITs) are providing Industrial Control Systems (ICS) with a great capacity for interconnection and adaptability. However, the use of communication networks makes ICS highly vulnerable. Consequently, it is essential to develop methodologies for the identificat...
| Autores: | , , |
|---|---|
| Tipo de recurso: | artículo |
| Fecha de publicación: | 2020 |
| País: | España |
| Institución: | Universidad Nacional de Educación a Distancia |
| Repositorio: | e-spacio. Repositorio Institucional de la UNED |
| Idioma: | inglés |
| OAI Identifier: | oai:e-spacio.uned.es:20.500.14468/12241 |
| Acceso en línea: | https://hdl.handle.net/20.500.14468/12241 |
| Access Level: | acceso abierto |
| Palabra clave: | Cybersecurity Industrial control system Critical infrastructure National Security Cyber Resilience |
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Obtaining high preventive and resilience capacities in critical infrastructure by industrial automation cellsGonzález, Santiago G.Dormido Canto, SebastiánSánchez Moreno, JoséCybersecurityIndustrial control systemCritical infrastructureNational SecurityCyber ResilienceThe advances in Information Technologies (ITs) are providing Industrial Control Systems (ICS) with a great capacity for interconnection and adaptability. However, the use of communication networks makes ICS highly vulnerable. Consequently, it is essential to develop methodologies for the identification and subsequent classification of the ICS that intervene in critical infrastructure assets with any level of complexity, scalability and heterogeneity. The System and Infrastructure of Knowledge for Real Experimentation by means of Cells of Industrial Automation (SIKRECIA), described in this work, provides new capabilities for research, development, simulation and testing of the functioning of these systems, and the ability to foresee the behavior of a specific system in industrial production. The scenarios recreated through SIKRECIA have the ability to anticipate new threats that affect the ICS of critical infrastructures. Using SIKRECIA, a specific vulnerability of a PLC has been verified through the engineering programmed for the management of a traffic light control system. The results obtained demonstrate the high dependence between IT and OT (Operation Technologies) systems and therefore the importance of being able to recreate those environments before entering into operation. As SIKRECIA is an open system, it can use components from different industrial manufacturers to cover the existing architectures in the process industry.Elseviere-Spacio UNED20242024-05-2020202020-06-0120202020-06-01journal articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.14468/12241reponame:e-spacio. Repositorio Institucional de la UNEDinstname:Universidad Nacional de Educación a DistanciaInglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0oai:e-spacio.uned.es:20.500.14468/122412026-06-06T12:38:31Z |
| dc.title.none.fl_str_mv |
Obtaining high preventive and resilience capacities in critical infrastructure by industrial automation cells |
| title |
Obtaining high preventive and resilience capacities in critical infrastructure by industrial automation cells |
| spellingShingle |
Obtaining high preventive and resilience capacities in critical infrastructure by industrial automation cells González, Santiago G. Cybersecurity Industrial control system Critical infrastructure National Security Cyber Resilience |
| title_short |
Obtaining high preventive and resilience capacities in critical infrastructure by industrial automation cells |
| title_full |
Obtaining high preventive and resilience capacities in critical infrastructure by industrial automation cells |
| title_fullStr |
Obtaining high preventive and resilience capacities in critical infrastructure by industrial automation cells |
| title_full_unstemmed |
Obtaining high preventive and resilience capacities in critical infrastructure by industrial automation cells |
| title_sort |
Obtaining high preventive and resilience capacities in critical infrastructure by industrial automation cells |
| dc.creator.none.fl_str_mv |
González, Santiago G. Dormido Canto, Sebastián Sánchez Moreno, José |
| author |
González, Santiago G. |
| author_facet |
González, Santiago G. Dormido Canto, Sebastián Sánchez Moreno, José |
| author_role |
author |
| author2 |
Dormido Canto, Sebastián Sánchez Moreno, José |
| author2_role |
author author |
| dc.contributor.none.fl_str_mv |
e-Spacio UNED |
| dc.subject.none.fl_str_mv |
Cybersecurity Industrial control system Critical infrastructure National Security Cyber Resilience |
| topic |
Cybersecurity Industrial control system Critical infrastructure National Security Cyber Resilience |
| description |
The advances in Information Technologies (ITs) are providing Industrial Control Systems (ICS) with a great capacity for interconnection and adaptability. However, the use of communication networks makes ICS highly vulnerable. Consequently, it is essential to develop methodologies for the identification and subsequent classification of the ICS that intervene in critical infrastructure assets with any level of complexity, scalability and heterogeneity. The System and Infrastructure of Knowledge for Real Experimentation by means of Cells of Industrial Automation (SIKRECIA), described in this work, provides new capabilities for research, development, simulation and testing of the functioning of these systems, and the ability to foresee the behavior of a specific system in industrial production. The scenarios recreated through SIKRECIA have the ability to anticipate new threats that affect the ICS of critical infrastructures. Using SIKRECIA, a specific vulnerability of a PLC has been verified through the engineering programmed for the management of a traffic light control system. The results obtained demonstrate the high dependence between IT and OT (Operation Technologies) systems and therefore the importance of being able to recreate those environments before entering into operation. As SIKRECIA is an open system, it can use components from different industrial manufacturers to cover the existing architectures in the process industry. |
| publishDate |
2020 |
| dc.date.none.fl_str_mv |
2020 2020-06-01 2020 2020-06-01 2024 2024-05-20 |
| dc.type.none.fl_str_mv |
journal article http://purl.org/coar/resource_type/c_6501 |
| dc.type.openaire.fl_str_mv |
info:eu-repo/semantics/article |
| format |
article |
| dc.identifier.none.fl_str_mv |
https://hdl.handle.net/20.500.14468/12241 |
| url |
https://hdl.handle.net/20.500.14468/12241 |
| dc.language.none.fl_str_mv |
Inglés eng |
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Inglés |
| language |
eng |
| dc.rights.none.fl_str_mv |
open access http://purl.org/coar/access_right/c_abf2 info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-nd/4.0 |
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open access http://purl.org/coar/access_right/c_abf2 http://creativecommons.org/licenses/by-nc-nd/4.0 |
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openAccess |
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application/pdf |
| dc.publisher.none.fl_str_mv |
Elsevier |
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Elsevier |
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reponame:e-spacio. Repositorio Institucional de la UNED instname:Universidad Nacional de Educación a Distancia |
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Universidad Nacional de Educación a Distancia |
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e-spacio. Repositorio Institucional de la UNED |
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e-spacio. Repositorio Institucional de la UNED |
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1869414320679419904 |
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15,811543 |