Active Defense Research against False Data Injection Attacks of Power CPS Based on Data-Driven Algorithms

The terminal equipment interconnection and the network communication environment are complex in power cyber–physical systems (CPS), frequent interaction between information energy flows aggravates risk of false data injection attacks (FDIAs) grid. This paper proposes an active defense framework against FDIAs CPS based on data-driven algorithms order to ensure that can be efficiently detected processed real-time during grid operation. First, transmission scenario forms were analyzed, FDIA mathematical model was expounded. Then, from a perspective, algorithm improvement process design carried out for three key links enhancement, attack detection, reconstruction. Finally, proposed. example analysis verified method proposed this could effectively detect perform reconstruction, providing new idea CPS.