A GAN-Based False Data Injection and Civil Attack Detection Framework for Digital Relays with Feature Selection

A Aflaki, H Karimipour… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
As one of the highly used components in the power system, digital relays are employed to
use the phasor measurement units', voltage, and current signals, to decide whether a fault …

STEP-GAN: A one-class anomaly detection model with applications to power system security

M Adiban, A Safari, G Salvi - ICASSP 2021-2021 IEEE …, 2021 - ieeexplore.ieee.org
Smart grid systems (SGSs), and in particular power systems, play a vital role in today's urban
life. The security of these grids is now threatened by adversaries that use false data injection …

Deep learning-based integrated attack detection framework to protect distance relays against cyberattacks

JK Narang, B Bag - Electric Power Systems Research, 2024 - Elsevier
The cyber security of communication-assisted intelligent relays at the IEC61850-enabled
modern digital substations has become a prime concern among power companies and …

Joint adversarial example and false data injection attacks for state estimation in power systems

J Tian, B Wang, Z Wang, K Cao, J Li… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Although state estimation using a bad data detector (BDD) is a key procedure employed in
power systems, the detector is vulnerable to false data injection attacks (FDIAs). Substantial …

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 …

Improved Wasserstein generative adversarial networks defense method against data integrity attack on smart grid

Y Li, X Wang, J Zeng - … (Formerly Recent Patents on Electrical & …, 2022 - ingentaconnect.com
Background: As the integration of communication networks with power systems is getting
closer, the number of malicious attacks against the cyber-physical power system is …

A deep learning-based cyberattack detection system for transmission protective relays

YM Khaw, AA Jahromi, MFM Arani… - … on Smart Grid, 2020 - ieeexplore.ieee.org
The digitalization of power systems over the past decade has made the cybersecurity of
substations a top priority for regulatory agencies and utilities. Proprietary communication …

An unsupervised adversarial autoencoder for cyber attack detection in power distribution grids

MJ Zideh, MR Khalghani, SK Solanki - Electric Power Systems Research, 2024 - Elsevier
Detection of cyber attacks in smart power distribution grids with unbalanced configurations
poses challenges due to the inherent nonlinear nature of these uncertain and stochastic …

A GAN-based Adversarial Attack Method for Data-driven State Estimation

J Zhang, J Hu, C Miao, Q Wang - 2023 IEEE 6th International …, 2023 - ieeexplore.ieee.org
With the development of data science and technology, data-driven methods can provide
support to real-time and accurate state estimation (SE) of power systems. However, the non …

Comparative analysis of tabular generative adversarial network (GAN) models for generation and validation of power grid synthetic datasets

D Upadhyay, Q Luo, J Manero… - IEEE EUROCON …, 2023 - ieeexplore.ieee.org
The demand for securing SCADA (Supervisory Control and Data Acquisition)-based power
grid systems from cyber-attacks has been increasing significantly in the last few years …