A neural-symbolic dynamic graph framework for real-time anomaly detection in software-defined industrial cyber-physical systems
Software-defined industrial cyber-physical systems (SD-ICPS) face emerging security challenges as sensor measurements, system logs, and network traffic become increasingly interconnected under stringent timing requirements. Most existing anomaly detection methods rely on a single modality, provide limited modeling of c...