Cyber-Physical Railway Security using Smart Port Operations
TL;DR
A cyber-physical security framework mathematically and AI based for railway–smart port operations based on multi-layer security, intelligence intrusion detection system, and stability constrained monitoring models to ensure secure network operation in the event of a cyber attack is proposed.
Abstract
The interconnection of advanced signalling systems, logistics and operational networks involves IoT technologies in railway systems necessities advanced security measures to prevent cyber attacks to such systems which are used in the smart port infrastructures. This paper proposes a cyber-physical security framework mathematically and AI based for railway–smart port operations based on multi-layer security, intelligence intrusion detection system, and stability constrained monitoring models. The framework introduces network state evolution equations, communication delay modelling, secure logistics optimization, Lyapunov stability analysis and layered security convergence theorems to ensure secure network operation in the event of a cyber attack. Signalling manipulation, packet injection, spoofing and communication jamming attacks are detected using the AI based anomaly detection. Based on experimental analysis, it can be concluded that the proposed cyber-physical transportation security architecture is effective, robust, and reliable with intrusion detection accuracy of 97.2% and higher precision and recall, F1 score.