Transactions of Nanjing University of Aeronautics & Astronautics
Influential Node Ranking and Invulnerability of Air Traffic Cyber Physical System
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Abstract:
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.
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U8
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