26 citations · 29 across the 6 of their papers we have counts for
6 papers
Explainable Artificial Intelligence for Industrial Cybersecurity: A Review of Methods, Operational Integration, and Research Challenges
Amr S. Mohamed, Charlotte Fritz, Ahmad Mohammad Saber +5
The increasing digitalization of industrial infrastructure and the convergence of information technology (IT) and operational technology (OT) have expanded the cyberattack surface…
Safe Reinforcement Learning-based Automatic Generation Control
Amr S. Mohamed, Emily Nguyen, Deepa Kundur
Amidst the growing demand for implementing advanced control and decision-making algorithms|to enhance the reliability, resilience, and stability of power systems|arises a crucial c…
Reinforcement Learning for Supply Chain Attacks Against Frequency and Voltage Control
Amr S. Mohamed, Sumin Lee, Deepa Kundur
The ongoing modernization of the power system, involving new equipment installations and upgrades, exposes the power system to the introduction of malware into its operation throug…
On the Use of Reinforcement Learning for Attacking and Defending Load Frequency Control
Amr S. Mohamed, Deepa Kundur
The electric grid is an attractive target for cyberattackers given its critical nature in society. With the increasing sophistication of cyberattacks, effective grid defense will b…
On the Use of Safety Critical Control for Cyber-Physical Security in the Smart Grid
Amr S. Mohamed, Mohsen Khalaf, Deepa Kundur
The tight coupling between communication and control in cyber-physical systems is necessary to enable the complex regulation required to operate these systems. Unfortunately, cyber…
A Probabilistic Approach to Adaptive Protection in the Smart Grid
Amr S. Mohamed, Deepa Kundur, Mohsen Khalaf
Smart grids are critical cyber-physical systems that are vital to our energy future. Smart grids' fault resilience is dependent on the use of advanced protection systems that can r…