Rule-based Anomaly Detection for Railway Signalling Networks

Markus Heinrich, Arwed Gölz, Tolga Arul +1

We propose a rule-based anomaly detection system for railway signalling that mitigates attacks by a Dolev-Yao attacker who is able to inject control commands and to perform semanti…