State-of-the-art artificial intelligence techniques for distributed smart grids: A review

SS Ali, BJ Choi - Electronics, 2020 - mdpi.com
The power system worldwide is going through a revolutionary transformation due to the
integration with various distributed components, including advanced metering infrastructure …

A comprehensive survey on the security of smart grid: Challenges, mitigations, and future research opportunities

A Zibaeirad, F Koleini, S Bi, T Hou, T Wang - arxiv preprint arxiv …, 2024 - arxiv.org
In this study, we conduct a comprehensive review of smart grid security, exploring system
architectures, attack methodologies, defense strategies, and future research opportunities …

Cyber security for detecting distributed denial of service attacks in agriculture 4.0: Deep learning model

THH Aldhyani, H Alkahtani - Mathematics, 2023 - mdpi.com
Attackers are increasingly targeting Internet of Things (IoT) networks, which connect
industrial devices to the Internet. To construct network intrusion detection systems (NIDSs) …

Securing the smart grid: A comprehensive compilation of intrusion detection and prevention systems

PI Radoglou-Grammatikis, PG Sarigiannidis - Ieee Access, 2019 - ieeexplore.ieee.org
The smart grid (SG) paradigm is the next technological leap of the conventional electrical
grid, contributing to the protection of the physical environment and providing multiple …

Intrusion Detection System to Advance Internet of Things Infrastructure‐Based Deep Learning Algorithms

H Alkahtani, THH Aldhyani - Complexity, 2021 - Wiley Online Library
Smart grids, advanced information technology, have become the favored intrusion targets
due to the Internet of Things (IoT) using sensor devices to collect data from a smart grid …

Intrusion detection system in the advanced metering infrastructure: a cross-layer feature-fusion CNN-LSTM-based approach

R Yao, N Wang, Z Liu, P Chen, X Sheng - Sensors, 2021 - mdpi.com
Among the key components of a smart grid, advanced metering infrastructure (AMI) has
become the preferred target for network intrusion due to its bidirectional communication and …

A survey on power grid cyber security: From component-wise vulnerability assessment to system-wide impact analysis

X Huang, Z Qin, H Liu - IEEE Access, 2018 - ieeexplore.ieee.org
The now ubiquitous use of information technology poses a crucial challenge to the cyber
security of power grid operations, one that has aroused serious concerns from both industry …

Machine learning in generation, detection, and mitigation of cyberattacks in smart grid: A survey

NI Haque, MH Shahriar, MG Dastgir, A Debnath… - arxiv preprint arxiv …, 2020 - arxiv.org
Smart grid (SG) is a complex cyber-physical system that utilizes modern cyber and physical
equipment to run at an optimal operating point. Cyberattacks are the principal threats …

A system-level behavioral detection framework for compromised CPS devices: Smart-grid case

L Babun, H Aksu, AS Uluagac - ACM Transactions on Cyber-Physical …, 2019 - dl.acm.org
Cyber-Physical Systems (CPS) play a significant role in our critical infrastructure networks
from power-distribution to utility networks. The emerging smart-grid concept is a compelling …

[PDF][PDF] Cyber Attacks Detection And Mitigation Using Machine Learning In Smart Grid Systems

K Alam, MA Imran, U Mahmud… - Journal of Science and …, 2024 - researchgate.net
The increasing digitalization of power grids has led to the emergence of smart grid systems,
which are crucial for improving the efficiency, reliability, and sustainability of energy …