Detecting critical nodes for network vulnerability assessment under cascading failures

Shikai Hu, Jung-Te Chou, Bing-Hong Liu, Shao-I Chu, Thinagaran Perumal, Van-Trung Pham
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Abstract

Recently, the major challenge in the robustness evaluation of networks is to enhance the detecting the most critical nodes. Many researchers have studied the problem of detecting the list of attacked nodes, which are the number of failed nodes is maximum, in order to protect these nodes. However, there is no any previous works to consider the cost of attacks that the budget is limited is very practical in the real attacks. In this paper, we study the problem of attacking nodes in networks to maximize the total profits of attacked nodes, where the total cost of attacks is remained under the budget. In addition, an algorithm is proposed to solve problem of attacking nodes in the network with limited budget while guaranteeing the high total profits of attacked nodes. Simulation results show that the proposed method provides good performance.
检测关键节点,用于级联故障下的网络脆弱性评估
目前,网络鲁棒性评估面临的主要挑战是如何增强对最关键节点的检测能力。为了保护这些节点,许多研究人员研究了检测失效节点数量最大的受攻击节点列表问题。但是,以前没有任何著作考虑攻击成本,认为预算有限在实际攻击中是非常实用的。在本文中,我们研究了网络中攻击节点的问题,以使被攻击节点的总利润最大化,并且攻击的总成本保持在预算之内。此外,提出了一种算法,在保证被攻击节点总利润较高的情况下,以有限的预算解决网络中攻击节点的问题。仿真结果表明,该方法具有良好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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