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 …

Spatio-temporal correlation-based false data injection attack detection using deep convolutional neural network

G Zhang, J Li, O Bamisile, D Cai, W Hu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
There are lots of cyber-attack, especially false data injection attacks, in modern power
systems. This attack can circumvent traditional residual-based detection methods, and …

False data attacks against AC state estimation with incomplete network information

X Liu, Z Li - IEEE Transactions on smart grid, 2016 - ieeexplore.ieee.org
Power systems are being exposed to cyber-attacks due to the high integration of information
technology and the vulnerability of communication networks. Existing false data attacks …

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 …

Deep learning for online AC false data injection attack detection in smart grids: An approach using LSTM-autoencoder

L Yang, Y Zhai, Z Li - Journal of Network and Computer Applications, 2021 - Elsevier
The Power system is a crucial Cyber-Physical system and is prone to the False Data
Injection Attack (FDIA). The existing FDIA detection mechanism focuses on DC state …

Dynamic detection of false data injection attack in smart grid using deep learning

X Niu, J Li, J Sun, K Tomsovic - 2019 IEEE Power & Energy …, 2019 - ieeexplore.ieee.org
Modern advances in sensor, computing, and communication technologies enable various
smart grid applications. The heavy dependence on communication technology has …

A new AC false data injection attack method without network information

R Jiao, G Xun, X Liu, G Yan - IEEE Transactions on Smart Grid, 2021 - ieeexplore.ieee.org
Cyberattack emerges as a critical concern in Internet-of-Things integrated power systems.
Cybersecurity capabilities of power systems rely on a deep understanding of potential …

A novel detection algorithm to identify false data injection attacks on power system state estimation

M Ganjkhani, SN Fallah, S Badakhshan… - Energies, 2019 - mdpi.com
This paper provides a novel bad data detection processor to identify false data injection
attacks (FDIAs) on the power system state estimation. The attackers are able to alter the …

Joint-transformation-based detection of false data injection attacks in smart grid

SK Singh, K Khanna, R Bose… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
For reliable operation and control of smart grid, estimating the correct states is of utmost
importance to the system operator. With recent incorporation of information technology and …

Online detection of stealthy false data injection attacks in power system state estimation

A Ashok, M Govindarasu… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
State estimation is one of the fundamental functions in modern power grid operations that
provide operators with situational awareness and is used by several applications like …