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Vulnerability of complex networks under multiple node-based attacks

机译:基于多节点攻击下复杂网络的漏洞

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We investigate the vulnerability of complex networks under different node-based attacks. The networks considered include scale-free network (SF), WS small-world network model, ER network and two real-world networks (autonomous system network and Italy power grid). The attacks are induced by removing the nodes in the descending order of the four kinds of weights defined in this paper. By measuring the relative size of the giant component and the average efficiency, the simulations demonstrate that, the kshell index-based attack can more effectively break the connectivity and the functionality of SF network and also is more harmful in reducing the efficiency of ER network. WS network shows more sensitive under the degree-based attack. Interestingly, the degree-based attack can more effectively break the connectivity and reduce the efficiency of the two real-world networks, which is similar to WS small-world network. The findings highlight the identification of key nodes in protecting the real-world networks.
机译:我们调查复杂网络在不同节点的攻击下的漏洞。所考虑的网络包括无垢网络(SF),WS小世界网络模型,ER网络和两个真实网络(自主系统网络和意大利电网)。通过在本文中定义的四种重量的降序中移除节点来引起攻击。通过测量巨大分量的相对大小和平均效率,模拟表明,基于KShell指数的攻击可以更有效地打破SF网络的连接和功能,并且在降低ER网络的效率时也更有害。 WS网络在基于程度的攻击下显示更敏感。有趣的是,基于程度的攻击可以更有效地打破连接,降低两个真实网络的效率,类似于WS小世界网络。调查结果突出了保护真实网络的关键节点的识别。

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