Autors: Atanasov, I. I., Pencheva E. Title: Cybersecurity Aspects of Artificial Intelligence Driven System for Railway Infrastructure Telemetry Keywords: cybersecurity threat detection, intelligent railway controller, layered intelligent architectureAbstract: Cybersecurity in railway infrastructure telemetry plays a critical role in ensuring the integrity, availability, and safety of data transmitted between trains, trackside equipment, and central control centers. The paper analyzes the functional role of actors in a layered Artificial Intelligence-driven system for cybersecurity threat detection, time constraints, and benefits. The focus is on the key security issues of near real time intelligent function, and possible mitigations and solutions. References - F. J. Bris-Penalver, R. Verdecia-Pena, and J. I. Alonso, “A Survey of AI-Enabled Predictive Maintenance for Railway Infrastructure: Models, Data Sources, and Research Challenges,” Sensors, vol. 26, p. 906, Jan. 2026.
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Issue
| Conference Proceedings - 2026 IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd4.0 and IoT 2026, pp. 29-34, 2026, Italy, https://doi.org/10.1109/MetroInd4.0IoT69397.2026.11653108 |
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