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cs.LG2025
A Kolmogorov-Arnold Network for Interpretable Cyberattack Detection in AGC Systems
Jehad Jilan, Niranjana Naveen Nambiar, Ahmad Mohammad Saber +3
Automatic Generation Control (AGC) is essential for power grid stability but remains vulnerable to stealthy cyberattacks, such as False Data Injection Attacks (FDIAs), which can di…
cs.LG2025
Adversarial Attacks on Deep Learning-Based False Data Injection Detection in Differential Relays
Ahmad Mohammad Saber, Aditi Maheshwari, Amr Youssef +1
The application of Deep Learning-based Schemes (DLSs) for detecting False Data Injection Attacks (FDIAs) in smart grids has attracted significant attention. This paper demonstrates…
cs.LG2025
A Kolmogorov-Arnold Network for Explainable Detection of Cyberattacks on EV Chargers
Ahmad Mohammad Saber, Max Mauro Dias Santos, Mohammad Al Janaideh +2
The increasing adoption of Electric Vehicles (EVs) and the expansion of charging infrastructure and their reliance on communication expose Electric Vehicle Supply Equipment (EVSE)…