Salar Rezaei Moghadam

Digital-Intelligence Deep-Learning for Confidential-Computing under Zero-Trust Tokenization Against Cyber Attacks

Cyber-physical energy systems rely on digital measurements, state estimation, and learning-assisted monitoring, yet these layers are vulnerable to stealthy false data injection attacks that can distort operator awareness without triggering residual alarms. This paper presents a physics-constrained deep generative frame...