Robustness of partially interdependent networks under combined attack

We thoroughly study the robustness of partially interdependent networks when suffering attack combinations of random, targeted, and localized attacks. We compare analytically and numerically the robustness of partially interdependent networks with a broad range of parameters including coupling stren...

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Published in:Chaos (Woodbury, N.Y.) N.Y.), 2019-02, Vol.29 (2), p.021101-021101
Main Authors: Liu, Yangyang, Zhao, Chengli, Yi, Dongyun, Eugene Stanley, H.
Format: Article
Language:English
Subjects:
Coupling
Cybersecurity
Networks
Phase transitions
Robustness (mathematics)
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description We thoroughly study the robustness of partially interdependent networks when suffering attack combinations of random, targeted, and localized attacks. We compare analytically and numerically the robustness of partially interdependent networks with a broad range of parameters including coupling strength, attack strength, and network type. We observe the first and second order phase transition and accurately characterize the critical points for each combined attack. Generally, combined attacks show more efficient damage to interdependent networks. Besides, we find that, when robustness is measured by the critical removing ratio and the critical coupling strength, the conclusion drawn for a combined attack is not always consistent.
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source American Institute of Physics:Jisc Collections:Transitional Journals Agreement 2021-23 (Reading list)
subjects Coupling
Cybersecurity
Networks
Phase transitions
Robustness (mathematics)
title Robustness of partially interdependent networks under combined attack
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