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Nodal vulnerability to targeted attacks in power grids
Due to the open data policies, nowadays, some countries have their power grid data available online. This may bring a new concern to the power grid operators in terms of malicious threats. In this paper, we assess the vulnerability of power grids to targeted attacks based on network science. By empl...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6214329/ https://www.ncbi.nlm.nih.gov/pubmed/30839759 http://dx.doi.org/10.1007/s41109-018-0089-9 |
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author | Cetinay, Hale Devriendt, Karel Van Mieghem, Piet |
author_facet | Cetinay, Hale Devriendt, Karel Van Mieghem, Piet |
author_sort | Cetinay, Hale |
collection | PubMed |
description | Due to the open data policies, nowadays, some countries have their power grid data available online. This may bring a new concern to the power grid operators in terms of malicious threats. In this paper, we assess the vulnerability of power grids to targeted attacks based on network science. By employing two graph models for power grids as simple and weighted graphs, we first calculate the centrality metrics of each node in a power grid. Subsequently, we formulate different node-attack strategies based on those centrality metrics, and empirically analyse the impact of targeted attacks on the structural and the operational performance of power grids. We demonstrate our methodology in the high-voltage transmission networks of 5 European countries and in commonly used IEEE test power grids. |
format | Online Article Text |
id | pubmed-6214329 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-62143292018-11-13 Nodal vulnerability to targeted attacks in power grids Cetinay, Hale Devriendt, Karel Van Mieghem, Piet Appl Netw Sci Research Due to the open data policies, nowadays, some countries have their power grid data available online. This may bring a new concern to the power grid operators in terms of malicious threats. In this paper, we assess the vulnerability of power grids to targeted attacks based on network science. By employing two graph models for power grids as simple and weighted graphs, we first calculate the centrality metrics of each node in a power grid. Subsequently, we formulate different node-attack strategies based on those centrality metrics, and empirically analyse the impact of targeted attacks on the structural and the operational performance of power grids. We demonstrate our methodology in the high-voltage transmission networks of 5 European countries and in commonly used IEEE test power grids. Springer International Publishing 2018-08-23 2018 /pmc/articles/PMC6214329/ /pubmed/30839759 http://dx.doi.org/10.1007/s41109-018-0089-9 Text en © The Author(s) 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Research Cetinay, Hale Devriendt, Karel Van Mieghem, Piet Nodal vulnerability to targeted attacks in power grids |
title | Nodal vulnerability to targeted attacks in power grids |
title_full | Nodal vulnerability to targeted attacks in power grids |
title_fullStr | Nodal vulnerability to targeted attacks in power grids |
title_full_unstemmed | Nodal vulnerability to targeted attacks in power grids |
title_short | Nodal vulnerability to targeted attacks in power grids |
title_sort | nodal vulnerability to targeted attacks in power grids |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6214329/ https://www.ncbi.nlm.nih.gov/pubmed/30839759 http://dx.doi.org/10.1007/s41109-018-0089-9 |
work_keys_str_mv | AT cetinayhale nodalvulnerabilitytotargetedattacksinpowergrids AT devriendtkarel nodalvulnerabilitytotargetedattacksinpowergrids AT vanmieghempiet nodalvulnerabilitytotargetedattacksinpowergrids |