Paper
2 November 2022 Attack research of multilayer network vulnerability in the urban transport system
Author Affiliations +
Proceedings Volume 12455, International Conference on Signal Processing and Communication Security (ICSPCS 2022); 124550Y (2022) https://doi.org/10.1117/12.2655174
Event: International Conference on Signal Processing and Communication Security (ICSPCS 2022), 2022, Dalian, China
Abstract
The urban public transport system comprises various networks representing different transportation modes with complex internal connections. The common single-layer complex network cannot fully describe the interior characteristics of the system. Therefore, this paper proposes a multi-layer network modeling method for the urban public transport system, which couples different traffic networks into multi-layer networks. We also proposed a centrality measurement of node transfer and designed an attack strategy called the multi-metric joint. The simulation experiment using the geographic information data of Chengdu urban public transport shows that the modeling method can completely and accurately describe the natural urban public transport system. And the multi-metric joint attack strategy is more effective than the traditional attack strategy, which will cause more severe damage to the network. This paper provides a new perspective and method for multilayer network modeling and vulnerability analysis of urban public transport systems.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jie Cao, Jinyu Li, and Liang Hou "Attack research of multilayer network vulnerability in the urban transport system", Proc. SPIE 12455, International Conference on Signal Processing and Communication Security (ICSPCS 2022), 124550Y (2 November 2022); https://doi.org/10.1117/12.2655174
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KEYWORDS
Network security

Analytical research

Statistical analysis

Systems modeling

Complex systems

Multilayers

Transportation security

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