AI-based Anomaly Detection Framework for Smart Grids

This research article presents an AI-based anomaly detection framework specifically designed for Industrial Control System (ICS) protocols in Smart Grids. Focusing on the Manufacturing Message Specification (MMS) protocol, the framework utilizes machine learning to identify deviations and detect cyber threats, particularly Denial of Service (DoS) attacks. The study highlights improved detection accuracy and reduced false positives, contributing to enhanced security in Smart Grid infrastructures.