SmartGrid-CyberPhysical-Attack-Dataset

This dataset provides cyber-physical data for evaluating attack detection techniques in smart power grids. It includes synchronized cyber and physical measurements under multiple scenarios, including benign operation and various cyber attacks such as backdoor, brute force, false data injection (FDI), ransomware, and reverse shell attacks. Each scenario contains paired cyber and physical data files to enable cyber-physical fusion approaches. The dataset is specifically designed to support research on advanced detection techniques for intrusion detection and anomaly detection in smart grid environments. It can also be used for benchmarking cyber-physical security models and for developing machine learning-based and deep learning-based detection frameworks. The dataset aims to facilitate reproducible research and promote advancements in securing smart power grids against emerging cyber-physical threats.