Enhancing cybersecurity in railways: Machine learning approaches for attack detection

Beatriz Otero Calviño, Eva Rodriguez, Juan José Costa and Mercedes Oriol

International Journal of Critical Infrastructure Protection, 2025, vol. 50, issue C

Abstract: Ensuring the security of railway systems is crucial to protecting both passengers and infrastructure from the increasing threat of cyberattacks. As these threats grow in complexity and frequency, the need for resilient attack detection systems becomes more pressing.

Keywords: Cybersecurity; Deep learning; Generative adversarial network; Intrusion detection; Railway systems (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ijocip:v:50:y:2025:i:c:s1874548225000496

DOI: 10.1016/j.ijcip.2025.100788

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