Securing the Future of Railway Systems: A Comprehensive Cybersecurity Strategy for Critical On-Board and Track-Side Infrastructure DOI Creative Commons
Nisrine Ibadah, César Benavente-Peces, Marc-Oliver Pahl

et al.

Sensors, Journal Year: 2024, Volume and Issue: 24(24), P. 8218 - 8218

Published: Dec. 23, 2024

The growing prevalence of cybersecurity threats is a significant concern for railway systems, which rely on an extensive network onboard and trackside sensors. These have the potential to compromise safety operations integrity infrastructure itself. This paper aims examine current measures in use, identify key vulnerabilities that they address, propose solutions enhancing security infrastructures. report evaluates effectiveness existing protocols by reviewing standards, including IEC62443 NIST, as well case histories recent rail cyberattacks. Significant gaps been identified, especially where modern legacy systems need be integrated. Weaknesses communication such MVB, CAN TCP/IP are identified. To address these challenges, proposes layered framework specific railways incorporate continuous monitoring, risk-based modeling, AI-assisted threat detection, stronger authentication methodologies. aim recommendations improve resilience networks ensure safer, more secure future operations.

Language: Английский

AGFCN:A bearing fault diagnosis method for high-speed train bogie under complex working conditions DOI
Deqiang He, Jinxin Wu, Zhenzhen Jin

et al.

Reliability Engineering & System Safety, Journal Year: 2025, Volume and Issue: unknown, P. 110907 - 110907

Published: Feb. 1, 2025

Language: Английский

Citations

3
Optimal allocation of defensive resources in regional railway networks under intentional attacks DOI
Benwei Hou, Pengfei Chen, Xudong Zhao

et al.

Reliability Engineering & System Safety, Journal Year: 2025, Volume and Issue: unknown, P. 110864 - 110864

Published: Jan. 1, 2025

Language: Английский

Citations

1
An efficient method for network connectivity reliability computation considering correlation of components DOI

Zhao‐Hui Lu,

Xiaowen Wang, Liang Liu

et al.

Reliability Engineering & System Safety, Journal Year: 2025, Volume and Issue: 257, P. 110805 - 110805

Published: Jan. 2, 2025

Language: Английский

Citations

0
A Real-Time Multi-node Structural Response Prediction and Rapid Seismic Resilience Assessment Method DOI

Ying Zhou,

Shiqiao Meng, Haoran Xu

et al.

Reliability Engineering & System Safety, Journal Year: 2025, Volume and Issue: unknown, P. 110889 - 110889

Published: Feb. 1, 2025

Language: Английский

Citations

0
Reliability Improvement of Rolling Stock Planning with Maintenance Requirements for High-speed Railway DOI
Jiaxin Niu, Ke Qiao, Peng Zhao

et al.

Reliability Engineering & System Safety, Journal Year: 2025, Volume and Issue: unknown, P. 110972 - 110972

Published: Feb. 1, 2025

Language: Английский

Citations

0
An agent-based framework for resilience analysis of service networks DOI
Sunyue Geng, Sifeng Liu

Reliability Engineering & System Safety, Journal Year: 2024, Volume and Issue: unknown, P. 110523 - 110523

Published: Oct. 1, 2024

Language: Английский

Citations

3
A Methodology for Ranking of Critical Links in Transportation Networks Based on Criticality Score Distributions DOI
Hojjat Barati, Anil Yazici,

Amirmasoud Almotahari

et al.

Reliability Engineering & System Safety, Journal Year: 2024, Volume and Issue: 251, P. 110332 - 110332

Published: Nov. 1, 2024

Language: Английский

Citations

2
Reliability analysis for running safety of vehicle on slab track via an improved second-order fourth-moment approach DOI
Ping Lou, Tao Shi, Tao Yang

et al.

Reliability Engineering & System Safety, Journal Year: 2024, Volume and Issue: 253, P. 110555 - 110555

Published: Oct. 6, 2024

Language: Английский

Citations

1
Monte Carlo safeguarding of key links through multiple random walks in large network DOI Open Access

Qian Bai,

Longfei Ni,

Yongxin Zhang

et al.

Mathematical Methods in the Applied Sciences, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 7, 2024

Safeguarding important links is a useful way to promote network vulnerability, especially in sparse networks where random link failures can disconnect the network. Sustaining connectivity main goal of safeguarding and be handled by selectively belonging certain cuts However, due inherent high complexity cut enumeration, existing algorithms only handle small‐scale with limited nodes. It find practical that are feasible for large‐scale graphs, as significant portion real‐world graphs under investigation not small dozens To address problem, we propose use high‐precision approximate approach accelerate first step two‐step safeguard process thus whole process. A Monte Carlo algorithm proposed exploit efficient paths which help locate edges probability networks. These will then utilized approximated minimum cost edge set whose sustain expected connectivity. The validated using various sizes random/Barbasi–Albert scale‐free/Clustered scale‐free/unit disk/Watts–Strogatz small‐world graphs. experimental results show perfectly connectivity, acceleration ratio more than 10 5 achieved little additional overhead. Specifically, large one million nodes, solutions survive at least 99.9% failures, solution time further reduced seconds when steps easily implemented full parallel.

Language: Английский

Citations

0
Securing the Future of Railway Systems: A Comprehensive Cybersecurity Strategy for Critical On-Board and Track-Side Infrastructure DOI Creative Commons
Nisrine Ibadah, César Benavente-Peces, Marc-Oliver Pahl

et al.

Sensors, Journal Year: 2024, Volume and Issue: 24(24), P. 8218 - 8218

Published: Dec. 23, 2024

The growing prevalence of cybersecurity threats is a significant concern for railway systems, which rely on an extensive network onboard and trackside sensors. These have the potential to compromise safety operations integrity infrastructure itself. This paper aims examine current measures in use, identify key vulnerabilities that they address, propose solutions enhancing security infrastructures. report evaluates effectiveness existing protocols by reviewing standards, including IEC62443 NIST, as well case histories recent rail cyberattacks. Significant gaps been identified, especially where modern legacy systems need be integrated. Weaknesses communication such MVB, CAN TCP/IP are identified. To address these challenges, proposes layered framework specific railways incorporate continuous monitoring, risk-based modeling, AI-assisted threat detection, stronger authentication methodologies. aim recommendations improve resilience networks ensure safer, more secure future operations.

Language: Английский

Citations

0