Comprehensive survey and taxonomies of false data injection attacks in smart grids: attack models, targets, and impacts

HT Reda, A Anwar, A Mahmood - Renewable and Sustainable Energy …, 2022 - Elsevier
Smart Grid is organically growing over the centrally controlled power system and becoming
a massively interconnected cyber–physical system with advanced technologies of fast …

[HTML][HTML] Cyber-security of smart microgrids: A survey

F Nejabatkhah, YW Li, H Liang, R Reza Ahrabi - Energies, 2020 - mdpi.com
In this paper, the cyber-security of smart microgrids is thoroughly discussed. In smart grids,
the cyber system and physical process are tightly coupled. Due to the cyber system's …

Reliable federated learning for mobile networks

J Kang, Z Xiong, D Niyato, Y Zou… - IEEE Wireless …, 2020 - ieeexplore.ieee.org
Federated learning, as a promising machine learning approach, has emerged to leverage a
distributed personalized dataset from a number of nodes, for example, mobile devices, to …

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 …

Resilient networked AC microgrids under unbounded cyber attacks

S Zuo, OA Beg, FL Lewis… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This paper considers a cooperative and adversarial AC microgrid system consisting of
cooperative leaders and inverters, as well as adversarial attackers. The attackers aim to …

Detection of false data injection attacks in cyber–physical systems using graph convolutional network

E Vincent, M Korki, M Seyedmahmoudian… - Electric Power Systems …, 2023 - Elsevier
Smart grids comprise numerous related units based on intelligent communication and
information-oriented technologies. The advanced network communication technologies are …

Enhancing cyber-resiliency of DER-based smart grid: A survey

M Liu, F Teng, Z Zhang, P Ge, M Sun… - … on Smart Grid, 2024 - ieeexplore.ieee.org
The rapid development of information and communications technology has enabled the use
of digital-controlled and software-driven distributed energy resources (DERs) to improve the …

Adaptive hierarchical cyber attack detection and localization in active distribution systems

Q Li, J Zhang, J Zhao, J Ye, W Song… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Development of a cyber security strategy for the active distribution systems is challenging
due to the inclusion of distributed renewable energy generations. This paper proposes an …

Interval state estimation with uncertainty of distributed generation and line parameters in unbalanced distribution systems

Y Zhang, J Wang, Z Li - IEEE Transactions on Power Systems, 2019 - ieeexplore.ieee.org
Distribution system state estimation, which provides critical information for system monitoring
and control, is being challenged by multiple sources of uncertainties such as random meter …

A review on distribution system state estimation uncertainty issues using deep learning approaches

Y Raghuvamsi, K Teeparthi - Renewable and Sustainable Energy Reviews, 2023 - Elsevier
This study highlights the research works on different uncertainty issues encountered in
distribution system state estimation (DSSE). The DSSE plays a crucial role since the …