Explainable AI for Real-time Anomaly Detection in Critical Infrastructure Monitoring

This paper presents an XAI-driven framework for real-time anomaly detection in critical infrastructure, such as power grids and industrial control systems. The system not only identifies unusual patterns but also provides clear, human-understandable explanations for detected anomalies, enabling operators to quickly assess risks and take corrective actions, enhancing reliability and safety.