most citedOn the Use of Reinforcement Learning for Attacking and Defending Load Frequency Control

26 citations · 31 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SP2023

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…

eess.SY2023★ 26 cited

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…

eess.SY2023★ 3 cited

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…

eess.SY2023

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…

cs.IR2020★ 2 cited

Implicit Feedback Deep Collaborative Filtering Product Recommendation System

Karthik Raja Kalaiselvi Bhaskar, Deepa Kundur, Yuri Lawryshyn

In this paper, several Collaborative Filtering (CF) approaches with latent variable methods were studied using user-item interactions to capture important hidden variations of the…