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\Hos-Rényi 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.
%0 Journal Article
%1 Shao2015Percolation
%A Shao, Shuai
%A Huang, Xuqing
%A Stanley, H. Eugene
%A Havlin, Shlomo
%D 2015
%J New Journal of Physics
%K attack, resilience percolation er-networks
%N 2
%P 023049+
%R 10.1088/1367-2630/17/2/023049
%T Percolation of localized attack on complex networks
%U http://dx.doi.org/10.1088/1367-2630/17/2/023049
%V 17
%X 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\Hos-Rényi 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.
@article{Shao2015Percolation,
abstract = {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.},
added-at = {2019-06-10T14:53:09.000+0200},
archiveprefix = {arXiv},
author = {Shao, Shuai and Huang, Xuqing and Stanley, H. Eugene and Havlin, Shlomo},
biburl = {https://www.bibsonomy.org/bibtex/2314c2fa8ed4481767d7df1b8819257de/nonancourt},
citeulike-article-id = {13458728},
citeulike-linkout-0 = {http://dx.doi.org/10.1088/1367-2630/17/2/023049},
citeulike-linkout-1 = {http://arxiv.org/abs/1412.3124},
citeulike-linkout-2 = {http://arxiv.org/pdf/1412.3124},
day = 18,
doi = {10.1088/1367-2630/17/2/023049},
eprint = {1412.3124},
interhash = {4f283e23dd224964724c9ce8d72208f9},
intrahash = {314c2fa8ed4481767d7df1b8819257de},
issn = {1367-2630},
journal = {New Journal of Physics},
keywords = {attack, resilience percolation er-networks},
month = feb,
number = 2,
pages = {023049+},
posted-at = {2014-12-11 12:27:21},
priority = {2},
timestamp = {2019-08-01T16:10:11.000+0200},
title = {{Percolation of localized attack on complex networks}},
url = {http://dx.doi.org/10.1088/1367-2630/17/2/023049},
volume = 17,
year = 2015
}