On the use of reinforcement learning for attacking and defending load frequency control
AS Mohamed, D Kundur - IEEE Transactions on Smart Grid, 2023 - ieeexplore.ieee.org
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 benefit from …
With the increasing sophistication of cyberattacks, effective grid defense will benefit from …
Quickest detection of false data injection attacks in smart grid with dynamic models
A quickest intrusion detection algorithm is proposed to detect false data injection attacks
(FDIAs) in smart grids with time-varying dynamic models. The quickest detection algorithm …
(FDIAs) in smart grids with time-varying dynamic models. The quickest detection algorithm …
Deep federated learning-based cyber-attack detection in industrial control systems
AN Jahromi, H Karimipour… - 2021 18th International …, 2021 - ieeexplore.ieee.org
Due to the differences between Information Technology (IT) and Industrial Control System
(ICS) networks, current IT security solutions are not working effectively on ICS networks …
(ICS) networks, current IT security solutions are not working effectively on ICS networks …
Fourier singular values-based false data injection attack detection in AC smart-grids
Cyber-physical threats as false data injection attacks (FDIAs) in islanded smart microgrids
(ISMGs) are typical accretion attacks, which need urgent consideration. In this regard, this …
(ISMGs) are typical accretion attacks, which need urgent consideration. In this regard, this …
[HTML][HTML] Review of active defense methods against power CPS false data injection attacks from the multiple spatiotemporal perspective
X Bo, Z Qu, Y Liu, Y Dong, Z Zhang, M Cui - Energy Reports, 2022 - Elsevier
The power cyber–physical system (CPS) realizes the wide-area interconnection of new
energy sources and multiple loads and the dynamic interaction of information and energy …
energy sources and multiple loads and the dynamic interaction of information and energy …
Accurate detection of false data injection attacks in renewable power systems using deep learning
The rapid development of technology in the past decades created a society heavily
dependent on electricity, where even short disturbances in the power supply can result in …
dependent on electricity, where even short disturbances in the power supply can result in …
An enhanced UAV safety control scheme against attacks on desired trajectory
The detection and compensation of attacks are crucial for UAV safety. This paper focuses on
the case where the desired trajectory sent by ground control station (GCS) is attacked …
the case where the desired trajectory sent by ground control station (GCS) is attacked …
Security analysis for dynamic state estimation of power systems with measurement delays
Z Cheng, H Ren, J Qin, R Lu - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This article is centered on the cybersecurity research of dynamic state estimation for power
systems with measurement delays. Relying on mixed measurements from phasor …
systems with measurement delays. Relying on mixed measurements from phasor …
Perturbation-based diagnosis of false data injection attack using distributed energy resources
Modern smart grid relies on various sensor measurements for its operational control. In a
successful false data injection attack, the attacker manipulates the measurements from the …
successful false data injection attack, the attacker manipulates the measurements from the …
A hybrid method for false data injection attack detection in smart grid based on variational mode decomposition and OS-ELM
Accurate state estimation is critical to wide-area situational awareness of smart grid.
However, recent research found that power system state estimators are vulnerable to a new …
However, recent research found that power system state estimators are vulnerable to a new …