Survey of machine learning methods for detecting false data injection attacks in power systems

A Sayghe, Y Hu, I Zografopoulos, XR Liu… - IET Smart …, 2020 - Wiley Online Library
Over the last decade, the number of cyber attacks targeting power systems and causing
physical and economic damages has increased rapidly. Among them, false data injection …

Detecting false data injection attacks in smart grids: A semi-supervised deep learning approach

Y Zhang, J Wang, B Chen - IEEE Transactions on Smart Grid, 2020 - ieeexplore.ieee.org
The dependence on advanced information and communication technology increases the
vulnerability in smart grids under cyber-attacks. Recent research on unobservable false data …

A review of false data injection attacks against modern power systems

G Liang, J Zhao, F Luo, SR Weller… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
With rapid advances in sensor, computer, and communication networks, modern power
systems have become complicated cyber-physical systems. Assessing and enhancing cyber …

Online false data injection attack detection with wavelet transform and deep neural networks

JQ James, Y Hou, VOK Li - IEEE Transactions on Industrial …, 2018 - ieeexplore.ieee.org
State estimation is critical to the operation and control of modern power systems. However,
many cyber-attacks, such as false data injection attacks, can circumvent conventional …

Real-time detection of false data injection attacks in smart grid: A deep learning-based intelligent mechanism

Y He, GJ Mendis, J Wei - IEEE Transactions on Smart Grid, 2017 - ieeexplore.ieee.org
Application of computing and communications intelligence effectively improves the quality of
monitoring and control of smart grids. However, the dependence on information technology …

Data-driven detection of stealthy false data injection attack against power system state estimation

C Chen, Y Wang, M Cui, J Zhao, W Bi… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Power system state estimation (PSSE) is the foundation of energy management system
applications. Hence, operators impose stringent requirements on PSSE data integrity. False …

A novel data analytical approach for false data injection cyber-physical attack mitigation in smart grids

Y Wang, MM Amin, J Fu, HB Moussa - IEEE access, 2017 - ieeexplore.ieee.org
False data injection cyber-physical threat is a typical integrity attack in modern smart grids.
These days, data analytical methods have been employed to mitigate false data injection …

Survey of false data injection in smart power grid: Attacks, countermeasures and challenges

S Aoufi, A Derhab, M Guerroumi - Journal of Information Security and …, 2020 - Elsevier
Abstract False Data Injection Attack (FDIA) is one of the most dangerous cyber attacks
against smart power grids, as it could cause severe physical and economic damage. In this …

Locational detection of the false data injection attack in a smart grid: A multilabel classification approach

S Wang, S Bi, YJA Zhang - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
State estimation is critical to the monitoring and control of smart grids. Recently, the false
data injection attack (FDIA) is emerging as a severe threat to state estimation. Conventional …

A3D: Attention-based auto-encoder anomaly detector for false data injection attacks

A Kundu, A Sahu, E Serpedin, K Davis - Electric Power Systems Research, 2020 - Elsevier
With the influx of more advanced and more connected computing and control devices, the
electric power grid has continuously evolved to rely on communication networks for efficient …