Publication:
Cyber-Physical Vulnerability Assessment in Smart Grids Based on Multilayer Complex Networks

dc.affiliation.dptoUC3M. Departamento de Ingeniería Eléctricaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Redes y Sistemas de Energía Eléctrica (REDES)es
dc.contributor.authorAlonso Martínez, Mónica
dc.contributor.authorTuranzas, Jaime
dc.contributor.authorAmarís Duarte, Hortensia Elena
dc.contributor.authorLedo, Angel T.
dc.date.accessioned2021-09-22T08:11:14Z
dc.date.available2021-09-22T08:11:14Z
dc.date.issued2021-09-01
dc.descriptionThis article belongs to the Special Issue Cybersecurity and Privacy-Preserving in Modern Smart Griden
dc.description.abstractIn the last decade, the main attacks against smart grids have occurred in communication networks (ITs) causing the disconnection of physical equipment from power networks (OTs) and leading to electricity supply interruptions. To deal with the deficiencies presented in past studies, this paper addresses smart grids vulnerability assessment considering the smart grid as a cyber-physical heterogeneous interconnected system. The model of the cyber-physical system is composed of a physical power network model and the information and communication technology network model (ICT) both are interconnected and are interrelated by means of the communication and control equipment installed in the smart grid. This model highlights the hidden interdependencies between power and ICT networks and contains the interaction between both systems. To mimic the real nature of smart grids, the interconnected heterogeneous model is based on multilayer complex network theory and scale-free graph, where there is a one-to-many relationship between cyber and physical assets. Multilayer complex network theory centrality indexes are used to determine the interconnected heterogeneous system set of nodes criticality. The proposed methodology, which includes measurement, communication, and control equipment, has been tested on a standardized power network that is interconnected to the ICT network. Results demonstrate the model’s effectiveness in detecting vulnerabilities in the interdependent cyber-physical system compared to traditional vulnerability assessments applied to power networks (OT).en
dc.description.sponsorshipThis research was funded by Fundación Iberdrola España, within the 2020 research support scholarship program.en
dc.format.extent18
dc.identifier.bibliographicCitationAlonso, M., Turanzas, J., Amaris, H. & Ledo, A. T. (2021). Cyber-Physical Vulnerability Assessment in Smart Grids Based on Multilayer Complex Networks. Sensors, 21(17), 5826en
dc.identifier.doihttps://doi.org/10.3390/s21175826
dc.identifier.issn1424-8220
dc.identifier.publicationfirstpage5826
dc.identifier.publicationissue17
dc.identifier.publicationtitleSensorsen
dc.identifier.publicationvolume21
dc.identifier.urihttps://hdl.handle.net/10016/33299
dc.identifier.uxxiAR/0000028394
dc.language.isoeng
dc.publisherMDPI
dc.rights© 2021 by the authors.en
dc.rightsAtribución 3.0 España
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/
dc.subject.ecienciaElectrónicaes
dc.subject.otherVulnerabilityen
dc.subject.otherComplex networksen
dc.subject.otherSmart gridsen
dc.subject.otherCyber-physical systemsen
dc.subject.otherRobustnessen
dc.subject.otherScale-free graphen
dc.subject.otherMultilayer networksen
dc.titleCyber-Physical Vulnerability Assessment in Smart Grids Based on Multilayer Complex Networksen
dc.typeresearch article*
dc.type.hasVersionVoR*
dspace.entity.typePublication
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