A generalizable deep neural network method for detecting attacks in industrial cyber-physical systems

J Sakhnini, H Karimipour, A Dehghantanha… - IEEE Systems …, 2023 - ieeexplore.ieee.org
Today's power systems utilize smart technology to improve the efficacy of power distribution.
Using cyber-physical components in the power system such as smart grids can introduce …

Robust Data-Driven Adversarial False Data Injection Attack Detection Method With Deep Q-Network in Power Systems

X Ran, WP Tay, CHT Lee - IEEE Transactions on Industrial …, 2024 - ieeexplore.ieee.org
Electric power systems have been increasingly subjected to false data injection attacks
(FDIAs) and adversarial examples, which inject well-designed disturbance signals into the …

Communication Network Layer State Estimation Measurement Model for a Cyber-Secure Smart Grid

R Mathieu, S Boamah, A Cooper… - 2024 IEEE Power & …, 2024 - ieeexplore.ieee.org
Network communication has been proven to be a very important tool and a key factor in the
recent development and progress of the power grid operation. It is also considered as the …

Graph and Machine Learning Solutions for Smart Grid and Mobile Network Security

K Nagaraj - 2022 - search.proquest.com
Cyber attacks that target data integrity or network infrastructure constantly evolve and act as
a threat to the integrity of the dependent real world applications. Traditional physics based or …

Smart Grids: Models and Algorithms for Enhanced Grid Efficiency and Reliability

NZ Aljohani - 2022 - search.proquest.com
With the advent of the notion of Smart Grid, the grid architecture undergoes many changes to
adapt accelerated advancements in technologies. Phasor measurement units (PMU) for …