Metaheuristic Feature Optimization for IoT Smart Grid Anomaly Detection

arXiv·low signal

Combines ML classifiers with metaheuristic feature optimization (genetic algorithms, particle swarm) for detecting cyber-physical anomalies in IoT-enabled smart grids. Addresses the growing attack surface of connected power infrastructure where traditional rule-based detection fails against sophisticated adversaries.