Influential Node Ranking and Invulnerability of Air Traffic Cyber Physical System  

空中交通网络物理系统影响力节点排序与抗毁性研究

作　　者：WANG Xinglong HE Min 王兴隆;贺敏(中国民航大学空中交通管理学院,中国天津300300)

机构地区：[1]College of Air Traffic Management,Civil Aviation University of China,Tianjin 300300,P.R.China

出　　处：《Transactions of Nanjing University of Aeronautics and Astronautics》2021年第2期288-297,共10页南京航空航天大学学报（英文版）

基　　金：This work was supported by the Fundamental Research Funds for the Central Universities(No.3122019191).

摘　　要：To ensure flight safety,the complex network method is used to study the influence and invulnerability of air traffic cyber physical system(CPS)nodes.According to the rules of air traffic management,the logical coupling relationship between routes and sectors is analyzed,an air traffic CPS network model is constructed,and the indicators of node influence and invulnerability are established.The K-shell algorithm is improved to identify node influence,and the invulnerability is analyzed under random and selective attacks.Taking Airspace in Eastern China as an example,its influential nodes are sorted by degree,namely,K-shell,the improved K-shell(IKS)and betweenness centrality.The invulnerability of air traffic CPS under different attacks is analyzed.Results show that IKS can effectively identify the influential nodes in the air traffic CPS network,and IKS and betweenness centrality are the two key indicators that affect the invulnerability of air traffic CPS.为了确保飞行安全,采用复杂网络方法研究了空中交通网络物理系统(Cyber physical system,CPS)节点的影响和抗毁性。根据空中交通管理规则,分析了航路与管制扇区之间的逻辑耦合关系,构建了空中交通CPS网络模型,并建立了节点影响力指标和抗毁性指标。改进了K-shel(l Improved K-shell,IKS)算法,对网络节点的影响力进行了计算和排序,并分析了随机和选择性攻击下的网络抗毁性。以华东地区空域为例,建立空中交通CPS模型,利用度、IKS和接近中心性对信息网和物理网的影响力节点进行了排序,分析了空中交通CPS在不同攻击方式下的抗毁性。实验结果表明,IKS算法能够有效识别空中交通CPS网络中的影响力节点,改进K-shell和接近中心性是影响空中交通CPS的抗毁性的两个关键指标。

关 键 词：complex network air traffic cyber physical system improved K-shell algorithm influential node ranking INVULNERABILITY 

分 类 号：U8[交通运输工程]