Risk-Driven Security Strategy Decision-Making for High-Speed Train Control and Monitoring System

With the extensive application of technologies like Ethernet and integrated control in high-speed trains, onboard networks encounter mounting security challenges, making the assurance of their secure and stable operation a pressing issue. Since train onboard control and monitoring systems require high reliability and continuous stability, implementing security strategies can compromise system functionality, resources, and costs. Therefore, this paper presents a risk-driven method for decision-making on security strategies, examining how to select suitable security measures that minimize security risks while maximizing security benefits. A risk assessment approach is proposed, which accounts for the propagation of attack impacts based on system topology and functional features. Finally, a network simulation system is established, referencing the topology and functional specifications of the CR300AF Fuxing EMU, and experimental outcomes confirm a close alignment between the analysis results and actual train operations.

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Publication Details

Published
2024-11-01
DOI
https://doi.org/10.1109/cac63892.2024.10864605
Citations
1
Primary Topic
Mobile Agent-Based Network Management
Type
article
Field-Weighted Citation Impact
0.35

Funders

Controls
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article

Risk-Driven Security Strategy Decision-Making for High-Speed Train Control and Monitoring System

Jun Yang, Chunjie Zhou, Xiong Yan
1 citations
Mobile Agent-Based Network Management
0.35
article

Risk-Driven Security Strategy Decision-Making for High-Speed Train Control and Monitoring System

Jun Yang, Chunjie Zhou, Xiong Yan
article en
1 citations

Abstract

With the extensive application of technologies like Ethernet and integrated control in high-speed trains, onboard networks encounter mounting security challenges, making the assurance of their secure and stable operation a pressing issue. Since train onboard control and monitoring systems require high reliability and continuous stability, implementing security strategies can compromise system functionality, resources, and costs. Therefore, this paper presents a risk-driven method for decision-making on security strategies, examining how to select suitable security measures that minimize security risks while maximizing security benefits. A risk assessment approach is proposed, which accounts for the propagation of attack impacts based on system topology and functional features. Finally, a network simulation system is established, referencing the topology and functional specifications of the CR300AF Fuxing EMU, and experimental outcomes confirm a close alignment between the analysis results and actual train operations.

Central South University (CN), Changsha University (CN), Huazhong University of Science and Technology (CN)
National Key Research and Development Program of China
Peace, Justice and strong institutions
Openalex Percentile: Top 34%
Mobile Agent-Based Network Management
0.35
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Risk-Driven Security Strategy Decision-Making for High-Speed Train Control and Monitoring System — Jun Yang, Chunjie Zhou, et al. · (2024) | TGRS Research Map | TGRS