Cyber Threat Assessment in Monitoring Turnout Railway Systems

Despite advancements in their performance, cyber-physical systems remain susceptible to cyberattacks. This paper focuses on the turnout system in railway transportation infrastructure. For such systems, the data monitored is geographically dispersed, which makes it vulnerable: attackers may either conceal failures or trigger unnecessary maintenance decisions. To address this issue, a threat assessment paradigm is proposed in order to provide maintenance operators with a threat indicator based on field data. The method is developed and validated over a real railway turnout data set.