Influential Node Ranking and Invulnerability of Air Traffic Cyber Physical System

作     者：WANG Xinglong HE Min 王兴隆;贺敏

作者机构：College of Air Traffic ManagementCivil Aviation University of ChinaTianjin 300300P.R.China 

出 版 物：《Transactions of Nanjing University of Aeronautics and Astronautics》 (南京航空航天大学学报（英文版）)

年 卷 期：2021年第38卷第2期

页      面：288-297页

核心收录：

学科分类：08[工学] 0823[工学-交通运输工程] 

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

主　　题：complex network air traffic cyber physical system improved K-shell algorithm influential node ranking invulnerability 

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)*** 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 *** K-shell algorithm is improved to identify node influence,and the invulnerability is analyzed under random and selective *** Airspace in Eastern China as an example,its influential nodes are sorted by degree,namely,K-shell,the improved K-shell(IKS)and betweenness *** invulnerability of air traffic CPS under different attacks is *** 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.