4 papers
From Cycle Space to Cycle Manifold: Limits and Achievability of Blind False Data Injection Attacks
Xin Li, Chenhan Xiao, Jonathan Cohen +3
A false data injection attack (FDIA) can change the estimated grid state while evading a residual-based bad data detector (BDD). Existing blind attacks learn a low-rank measurement…
Compact and Infinite-Order Error Analysis for Null-Space SVD Estimation
Xin Li, Jonathan Cohen, Rami Puzis
We study null-space estimation from a noisy matrix. For a simple left null space, we first derive an exact compact expression for the error of the smallest left singular vector. We…
Physically Consistent Null Space Alignment for Detection of Low-Magnitude False Data Injection Attacks
Xin Li, Chenhan Xiao, Jonathan Cohen +3
False data injection attacks (FDIAs) introducing small measurement perturbations can still cause large deviations in power system state estimation when the injected signals align w…
Cycle-Space Informed Detection of Autoencoded Blind False Data Injection Attacks on Power Systems
Xin Li, Chenhan Xiao, Jonathan Cohen +3
The rapid growth of AI-driven data centers and large-scale energy storage systems is increasing the reliance of power system operation on real-time measurement data and automated d…