An Enhanced AdaBoost-Based Cyber-Physical Attack Prediction Framework for Smart Grid Systems Using Advanced Data Balancing Techniques
Cyber-physical security has become a critical challenge in smart grid (SG) systems due to the tight integration of digital communication with physical power infrastructures. This paper proposes a machine learning (ML)–based framework for the precise prediction of cyber-physical attacks using the “Smart Grid Cyber-Physi...