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arxiv: 1412.3124 · v1 · pith:VTJ5EEJAnew · submitted 2014-12-09 · ⚛️ physics.soc-ph · cs.SI· physics.data-an

Percolation of localized attack on complex networks

classification ⚛️ physics.soc-ph cs.SIphysics.data-an
keywords networksattackcomplexlocalizedrobustnesshub-targetedpercolationrandom
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The robustness of complex networks against node failure and malicious attack has been of interest for decades, while most of the research has focused on random attack or hub-targeted attack. In many real-world scenarios, however, attacks are neither random nor hub-targeted, but localized, where a group of neighboring nodes in a network are attacked and fail. In this paper we develop a percolation framework to analytically and numerically study the robustness of complex networks against such localized attack. In particular, we investigate this robustness in Erd\H{o}s-R\'{e}nyi networks, random-regular networks, and scale-free networks. Our results provide insight into how to better protect networks, enhance cybersecurity, and facilitate the design of more robust infrastructures.

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