Machine learning for cybersecurity in smart grids: A comprehensive review-based study on methods, solutions, and prospects

T Berghout, M Benbouzid, SM Muyeen - International Journal of Critical …, 2022 - Elsevier
Abstract In modern Smart Grids (SGs) ruled by advanced computing and networking
technologies, condition monitoring relies on secure cyberphysical connectivity. Due to this …

Cyber resilience of power electronics-enabled power systems: A review

J Hou, C Hu, S Lei, Y Hou - Renewable and Sustainable Energy Reviews, 2024 - Elsevier
The demand for carbon neutrality leads to the transition from traditional synchronous
generator-based power systems to power electronics-enabled power systems. The …

A comprehensive review of cybersecurity in inverter-based smart power system amid the boom of renewable energy

ND Tuyen, NS Quan, VB Linh, V Van Tuyen… - IEEE …, 2022 - ieeexplore.ieee.org
The blossom of renewable energy worldwide and its uncertain nature have driven the need
for a more intelligent power system with the deep integration of smart power electronics. The …

Distributed energy resources cybersecurity outlook: Vulnerabilities, attacks, impacts, and mitigations

I Zografopoulos, ND Hatziargyriou… - IEEE Systems …, 2023 - ieeexplore.ieee.org
The digitization and decentralization of the electric power grid are key thrusts for an
economically and environmentally sustainable future. Toward this goal, distributed energy …

Towards artificial general intelligence (agi) in the internet of things (iot): Opportunities and challenges

F Dou, J Ye, G Yuan, Q Lu, W Niu, H Sun… - arXiv preprint arXiv …, 2023 - arxiv.org
Artificial General Intelligence (AGI), possessing the capacity to comprehend, learn, and
execute tasks with human cognitive abilities, engenders significant anticipation and intrigue …

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 …

Review of cybersecurity analysis in smart distribution systems and future directions for using unsupervised learning methods for cyber detection

SJ Pinto, P Siano, M Parente - Energies, 2023 - mdpi.com
In a physical microgrid system, equipment failures, manual misbehavior of equipment, and
power quality can be affected by intentional cyberattacks, made more dangerous by the …

Semi-supervised deep learning-driven anomaly detection schemes for cyber-attack detection in smart grids

A Dairi, F Harrou, B Bouyeddou, SM Senouci… - … : Methods, concepts, and …, 2023 - Springer
Modern power systems are continuously exposed to malicious cyber-attacks. Analyzing
industrial control system (ICS) traffic data plays a central role in detecting and defending …

A review of AI-based cyber-attack detection and mitigation in microgrids

OA Beg, AA Khan, WU Rehman, A Hassan - Energies, 2023 - mdpi.com
In this paper, the application and future vision of Artificial Intelligence (AI)-based techniques
in microgrids are presented from a cyber-security perspective of physical devices and …

A Survey on cyber resilience: Key strategies, research challenges, and future directions

SM Alhidaifi, MR Asghar, IS Ansari - ACM Computing Surveys, 2024 - dl.acm.org
Cyber resilience has become a major concern for both academia and industry due to the
increasing number of data breaches caused by the expanding attack surface of existing IT …