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Reducing Cascading Failure Risk by Increasing Infrastructure Network Interdependence

Increased interconnection between critical infrastructure networks, such as electric power and communications systems, has important implications for infrastructure reliability and security. Others have shown that increased coupling between networks that are vulnerable to internetwork cascading fail...

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Detalles Bibliográficos
Autores principales: Korkali, Mert, Veneman, Jason G., Tivnan, Brian F., Bagrow, James P., Hines, Paul D. H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5357958/
https://www.ncbi.nlm.nih.gov/pubmed/28317835
http://dx.doi.org/10.1038/srep44499
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author Korkali, Mert
Veneman, Jason G.
Tivnan, Brian F.
Bagrow, James P.
Hines, Paul D. H.
author_facet Korkali, Mert
Veneman, Jason G.
Tivnan, Brian F.
Bagrow, James P.
Hines, Paul D. H.
author_sort Korkali, Mert
collection PubMed
description Increased interconnection between critical infrastructure networks, such as electric power and communications systems, has important implications for infrastructure reliability and security. Others have shown that increased coupling between networks that are vulnerable to internetwork cascading failures can increase vulnerability. However, the mechanisms of cascading in these models differ from those in real systems and such models disregard new functions enabled by coupling, such as intelligent control during a cascade. This paper compares the robustness of simple topological network models to models that more accurately reflect the dynamics of cascading in a particular case of coupled infrastructures. First, we compare a topological contagion model to a power grid model. Second, we compare a percolation model of internetwork cascading to three models of interdependent power-communication systems. In both comparisons, the more detailed models suggest substantially different conclusions, relative to the simpler topological models. In all but the most extreme case, our model of a “smart” power network coupled to a communication system suggests that increased power-communication coupling decreases vulnerability, in contrast to the percolation model. Together, these results suggest that robustness can be enhanced by interconnecting networks with complementary capabilities if modes of internetwork failure propagation are constrained.
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spelling pubmed-53579582017-03-22 Reducing Cascading Failure Risk by Increasing Infrastructure Network Interdependence Korkali, Mert Veneman, Jason G. Tivnan, Brian F. Bagrow, James P. Hines, Paul D. H. Sci Rep Article Increased interconnection between critical infrastructure networks, such as electric power and communications systems, has important implications for infrastructure reliability and security. Others have shown that increased coupling between networks that are vulnerable to internetwork cascading failures can increase vulnerability. However, the mechanisms of cascading in these models differ from those in real systems and such models disregard new functions enabled by coupling, such as intelligent control during a cascade. This paper compares the robustness of simple topological network models to models that more accurately reflect the dynamics of cascading in a particular case of coupled infrastructures. First, we compare a topological contagion model to a power grid model. Second, we compare a percolation model of internetwork cascading to three models of interdependent power-communication systems. In both comparisons, the more detailed models suggest substantially different conclusions, relative to the simpler topological models. In all but the most extreme case, our model of a “smart” power network coupled to a communication system suggests that increased power-communication coupling decreases vulnerability, in contrast to the percolation model. Together, these results suggest that robustness can be enhanced by interconnecting networks with complementary capabilities if modes of internetwork failure propagation are constrained. Nature Publishing Group 2017-03-20 /pmc/articles/PMC5357958/ /pubmed/28317835 http://dx.doi.org/10.1038/srep44499 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Korkali, Mert
Veneman, Jason G.
Tivnan, Brian F.
Bagrow, James P.
Hines, Paul D. H.
Reducing Cascading Failure Risk by Increasing Infrastructure Network Interdependence
title Reducing Cascading Failure Risk by Increasing Infrastructure Network Interdependence
title_full Reducing Cascading Failure Risk by Increasing Infrastructure Network Interdependence
title_fullStr Reducing Cascading Failure Risk by Increasing Infrastructure Network Interdependence
title_full_unstemmed Reducing Cascading Failure Risk by Increasing Infrastructure Network Interdependence
title_short Reducing Cascading Failure Risk by Increasing Infrastructure Network Interdependence
title_sort reducing cascading failure risk by increasing infrastructure network interdependence
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5357958/
https://www.ncbi.nlm.nih.gov/pubmed/28317835
http://dx.doi.org/10.1038/srep44499
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