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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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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. |
format | Online Article Text |
id | pubmed-5357958 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
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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