Stealthy MTD Against Unsupervised Learning-Based Blind FDI Attacks in Power Systems
Stealthy MTD Against Unsupervised Learning-Based Blind FDI Attacks in Power Systems
This paper examines how moving target defenses (MTD) implemented in power systems can be countered by unsupervised learning-based false data injection (FDI) attack and how MTD can be combined with physical watermarking to enhance the system resilience. A novel intelligent attack, which incorporates dimensionality reduction and density-based spatial clustering, is …