Evaluation feature selection with using machine learning for cyber-attack detection in smart grid

SH Mohammed, A Al-Jumaily, MJ Singh… - IEEE …, 2024 - ieeexplore.ieee.org
The Smart Grid is a modern power grid that relies on advanced technologies to provide
reliable and sustainable electricity. However, its integration with various communication …

Deep learning-based cyber resilient dynamic line rating forecasting

A Moradzadeh, M Mohammadpourfard, I Genc… - International Journal of …, 2022 - Elsevier
Increased integration of renewable energy resources into the grid may create new difficulties
for ensuring a sustainable power grid which drives electric utilities to use a number of cost …

Smart Grid and wind generators: an overview of cyber threats and vulnerabilities of power supply networks

I Fursov, K Yamkovyi, O Shmatko - Radioelectronic and Computer …, 2022 - nti.khai.edu
The subject of this study is the cyber vulnerability of wind generators, as part of the
cyberphysical system of intelligent power supply networks, Smart Grid. Wind generators …

Localizing false data injection attacks in smart grid: A spectrum-based neural network approach

S Peng, Z Zhang, R Deng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Smart grid is confronted with cyberattacks due to the increasing dependence on cyberspace.
False data injection attacks (FDIAs) represent a major type of cyberattacks that cannot be …

Preserving microgrid sustainability through robust islanding detection scheme ensuring cyber-situational awareness

M Tajdinian, M Mohammadpourfard, Y Weng… - Sustainable Cities and …, 2023 - Elsevier
Along with the numerous environmental and operational benefits of renewable energy
sources (RESs) integration into modern distribution networks, maintaining system security in …

An accurate false data injection attack (FDIA) detection in renewable-rich power grids

M Mohammadpourfard, Y Weng… - 2022 10th Workshop …, 2022 - ieeexplore.ieee.org
An accurate state estimation (SE) considering increased uncertainty by the high penetration
of renewable energy systems (RESs) is more and more important to enhance situational …

Image processing based approach for false data injection attacks detection in power systems

H Moayyed, M Mohammadpourfard… - IEEE …, 2021 - ieeexplore.ieee.org
With more sensors being installed by utilities for accurate control of power grids, there is a
growing risk of vulnerability to sophisticated data integrity attacks such as false data injection …

Survey of moving target defense in power grids: Design principles, tradeoffs, and future directions

S Lakshminarayana, Y Chen, C Konstantinou… - arXiv preprint arXiv …, 2024 - arxiv.org
Moving target defense (MTD) in power grids is an emerging defense technique that has
gained prominence in the recent past. It aims to solve the long-standing problem of securing …

Cyber-physical attack conduction and detection in decentralized power systems

M Mohammadpourfard, Y Weng, A Khalili, I Genc… - IEEE …, 2022 - ieeexplore.ieee.org
The expansion of power systems over large geographical areas renders centralized
processing inefficient. Therefore, the distributed operation is increasingly adopted. This work …

Real-time detection of cyber-attacks in modern power grids with uncertainty using deep learning

M Mohammadpourfard, F Ghanaatpishe… - … on Smart Energy …, 2022 - ieeexplore.ieee.org
The smart grid, which is critical for developing smart cities, has a tool called state estimation
(SE), which enables operators to monitor the system's stability. While the SE result is …