Nodal vulnerability to targeted attacks in power grids

Abstract 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...

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Main Authors: Hale Cetinay, Karel Devriendt, Piet Van Mieghem
Format: Article
Language:English
Published: SpringerOpen 2018-08-01
Series:Applied Network Science
Subjects:
Online Access:http://link.springer.com/article/10.1007/s41109-018-0089-9
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author Hale Cetinay
Karel Devriendt
Piet Van Mieghem
author_facet Hale Cetinay
Karel Devriendt
Piet Van Mieghem
author_sort Hale Cetinay
collection DOAJ
description Abstract 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.
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spelling doaj.art-6430a8d9451c483e9362c1ba95396c5d2022-12-21T19:19:03ZengSpringerOpenApplied Network Science2364-82282018-08-013111910.1007/s41109-018-0089-9Nodal vulnerability to targeted attacks in power gridsHale Cetinay0Karel Devriendt1Piet Van Mieghem2Delft University of Technology, Faculty of Electrical Engineering, Mathematics and Computer ScienceDelft University of Technology, Faculty of Electrical Engineering, Mathematics and Computer ScienceDelft University of Technology, Faculty of Electrical Engineering, Mathematics and Computer ScienceAbstract 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.http://link.springer.com/article/10.1007/s41109-018-0089-9Power gridsComplex networksCentrality metricsTargeted attacks
spellingShingle Hale Cetinay
Karel Devriendt
Piet Van Mieghem
Nodal vulnerability to targeted attacks in power grids
Applied Network Science
Power grids
Complex networks
Centrality metrics
Targeted attacks
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 Power grids
Complex networks
Centrality metrics
Targeted attacks
url http://link.springer.com/article/10.1007/s41109-018-0089-9
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AT kareldevriendt nodalvulnerabilitytotargetedattacksinpowergrids
AT pietvanmieghem nodalvulnerabilitytotargetedattacksinpowergrids