Work

STSRS:A New Dataset for Simulating Security Threats in Smart Railway Systems

Year: 2026

Type: article

Abstract: The digitalisation of railway systems has improved efficiency but introduced vulnerabilities in train-to-control communications. To address the lack of realistic datasets for cyber-physical railway systems, this paper introduces STSRS (Security Threats in Smart Railway Systems), a high-fidelity time-series corpus for cybersecurity and intelligent transport research. STSRS contains over 10 million synchronised records simulating interactions between 10 autonomous trains and two control centres under both normal and adversarial scenarios (DoS, Jamming, Stealthy Replay). Generated using a modular framework with stochastic dynamics, TCP/IP telemetry, and context-aware attack injection, each record includes over 10 labelled features spanning raw (e.g., speed, latency) and behavioural (e.g., Burstiness, Entropy) metrics. STSRS supports reproducible anomaly detection, cyber-defence modelling, and digital twin evaluation in railway CPS environments.

Source: Huddersfield Research Portal (University of Huddersfield)

Authors: Abukeshek, Mays, Al-Mhiqani, Mohammed; id_orcid 0000-0002-8802-487X, Parkinson, Simon

Language: English

Topic: Network Security and Intrusion Detection

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

OpenAlex ID: W7128747078

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