Security of railway control systems: A survey, research issues and challenges

Yu, Zhiwu; Wang, Hongwei; Chen, Feng

doi:10.1016/j.hspr.2022.12.001

Cited by 5 publications

(1 citation statement)

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“…Recognizing the importance of cybersecurity, the industry is focusing on the protection of its infrastructures. Keeping industrial control systems and critical infrastructures functioning normally is important (Yu et al, 2023). Many researchers are currently working on assessing risks and uncertainties linked to cyber-physical threats to transportation infrastructures.…”

Section: Physical and Cyber Threatsmentioning

confidence: 99%

Agent-based modelling of high-speed railway interdependent critical infrastructures facing physical and cyber threats

Kongsap,

Kaewunruen

2024

Front. Built Environ.

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Globally, high-speed rail systems serve nearly 2 billion passenger-km daily. By virtue, they are a critical infrastructure like telecommunication and power networks. Accordingly, they become a catalyst for societal and economic growth stemming from the mobility business. The highspeed rail operations are very complex and interdependent, owing to the escalated demands for long-distance interconnected transportation. In recent years, there have been unreasonable delays for passengers as a new norm due to unfortunate train cancellations and relaxation of mobility performance requirements. Therefore, accurate measurements, monitoring and prediction of disruptive impacts and service performance metrices are indispensable. Within the scope of high-speed rail services, this paper examines how agent-based and multi-agent-based models are utilized to address such the challenges. Our findings reveal that the current use of agents or multi-agent models has some limitations for practical applications. Previous studies showed that mathematical methods to assess the resilience of critical infrastructures, railway scheduling, and vehicle dispatching can yield more satisfactory outcomes, although the approaches can be relatively time-consuming. In contrast, agent-based and multi-agent-based models can shorten processing time and uncover disruptive events more promptly. The paper thus showcases several emerging concepts, including i) the utilization of big data for crisis management, ii) interconnectivity analysis of high-speed rail infrastructures, and iii) enhancement of transport resilience. In addition, our findings identify the most influential agents and their possible applications to enhance systems resilience of highspeed rail networks when dealing with unforeseen physical and cyber threats.

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Section: Physical and Cyber Threatsmentioning

confidence: 99%