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Driver-Node based Security Analysis for Network Controllability

机译:基于驱动程序节点的网络可控性安全分析

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In the study of network controllability, because driver nodes are vulnerable to control hijack and removals, and harmfulness of removing a driver node is still unknown. Therefore, to defend against such attacks, we identify each vertex of all minimum sets of driver nodes firstly. Also, to know the harmfulness of removing a driver node, we classify those identified nodes by impacts of removing a driver node on the minimum set of driver nodes to control the residual network. By the minimum input theorem, given a digraph, these two issues are respectively solved by finding each vertex that is an unmatched node related to a maximum matching, and classifying it by the impact of its removal on the number of unmatched nodes of the residual digraph. As a result, our driver-node identification and classification are executed in more efficient polynomial time than related works.
机译:在网络可控性研究中,由于驱动程序节点容易受到控制劫持和删除的影响,因此删除驱动程序节点的危害仍然未知。因此,为了防御此类攻击,我们首先确定驱动程序节点的所有最小集合的每个顶点。同样,为了了解删除驱动程序节点的危害,我们通过删除驱动程序节点对控制残留网络的最小驱动程序节点集的影响,对那些已标识的节点进行了分类。通过给定有向图的最小输入定理,分别找到与最大匹配有关的不匹配节点的每个顶点,并通过去除其对残差有向图的不匹配节点数量的影响进行分类,分别解决了这两个问题。结果,与相关工作相比,我们的驾驶员节点识别和分类以更有效的多项式时间执行。

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