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Node importance evaluation in aviation network based on 'No Return' node deletion method

机译:基于“无返回”节点删除方法的航空网络节点重要性评估

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Node importance evaluation is of great importance in the defense and attack of aviation network, most current studies did not consider the dynamic change and specific characteristics of aviation network. On the basis of complex network theory and node deletion method, a method customized for node importance evaluation in aviation network was proposed. The main feature of the method proposed is that the node will not be returned to the network after being removed, so it is called NR method, short for "No Return". Network efficiency, largest component size and network flow were used as the indicators of network performance. In order to quantify the three indicators, multi-attribute decision-making method was introduced, which takes individual network removed of different nodes as a solution, takes the evaluation indicators of network as the attributes of each solution. To demonstrate the method proposed, a randomly generated network, Chinese aviation network and American aviation network were chosen as test beds. The experiments' results show that NR method is more comprehensive and accurate than other method based on single metric (e.g. K-shell and closeness method). Compared with R-strategy, NR method shows its accuracy, some potential key nodes can be discovered along with nodes deletion. (C) 2018 Elsevier B.V. All rights reserved.
机译:节点重要评价在航空网络的防御和攻击方面具有重要意义,大多数目前的研究没有考虑航空网络的动态变化和特定特征。在复杂的网络理论和节点删除方法的基础上,提出了一种为航空网络中的节点重要性评估定制的方法。提出的方法的主要特征是,在删除后,节点不会返回到网络,因此它被称为NR方法,短为“返回”。网络效率,最大组件尺寸和网络流量被用作网络性能指标。为了量化三个指示器,引入了多属性决策方法,该方法采用不同节点的单个网络作为解决方案,将网络评估指标作为每个解决方案的属性。为了展示所提出的方法,选择了随机产生的网络,中国航空网络和美国航空网络作为试验台。实验结果表明,NR方法比基于单位度量的其他方法更全面,准确(例如K-Shell和闭合法)。与R策略相比,NR方法显示其精度,可以与节点删除一起发现一些潜在的密钥节点。 (c)2018年elestvier b.v.保留所有权利。

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