A Deep Learning-Based Cyber Intrusion Detection and Mitigation System for Smart Grids

A Aljohani, M AlMuhaini, HV Poor… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The emergence of power system digitalization initiatives is revolutionizing the way electricity
grids are monitored and protected. However, the integration of cyber and physical electrical …

Fusing Deep Learning Techniques for Intrusion Detection in Smart Grids

R Rahul, P Sindhu, GN Sundar, R Venkatesan - Full Length Article, 2024 - americaspg.com
Smart grids, pivotal in modern energy distribution, confront a mounting cybersecurity threat
landscape due to their increased connectivity. This study introduces a novel hybrid deep …

Deep Learning Aided Intrusion Detection for Smart Grid Cyber Security

MDR Hossain, T Bhardwaj - … Intelligence in Cyber Security: Theories and …, 2023 - Springer
Smart grid is a convoluted cyberphysical system and the evident future of modern power
grid. Conventional power structure accumulates unidirectional power flow with minimal …

[HTML][HTML] Ensemble model based on hybrid deep learning for intrusion detection in smart grid networks

U AlHaddad, A Basuhail, M Khemakhem, FE Eassa… - Sensors, 2023 - mdpi.com
The Smart Grid aims to enhance the electric grid's reliability, safety, and efficiency by
utilizing digital information and control technologies. Real-time analysis and state estimation …

Deep Learning-Based Cyber-Attack Detection Model for Smart Grids

M Mohammadi, A Aflaki, A Kavousifard… - arXiv preprint arXiv …, 2023 - arxiv.org
In this paper, a novel artificial intelligence-based cyber-attack detection model for smart
grids is developed to stop data integrity cyber-attacks (DIAs) on the received load data by …

[HTML][HTML] Multi-layer defense algorithm against deep reinforcement learning-based intruders in smart grids

HM Rouzbahani, H Karimipour, L Lei - … Journal of Electrical Power & Energy …, 2023 - Elsevier
Abstract The Internet of Energy envisions the next generation of smart grids as a highly
interconnected network, including advanced metering infrastructures, distributed energy …

[HTML][HTML] An advanced accurate intrusion detection system for smart grid cybersecurity based on evolving machine learning

T Yu, K Da, Z Wang, Y Ling, X Li, D Bin… - Frontiers in Energy …, 2022 - frontiersin.org
Smart grids, the next generation of electricity systems, would be intelligent and self-aware of
physical and cyber activity in the control area. As a cyber-embedded infrastructure, it must …

A hybrid deep learning model for discrimination of physical disturbance and cyber-attack detection in smart grid

K Bitirgen, ÜB Filik - International Journal of Critical Infrastructure Protection, 2023 - Elsevier
A smart grid (SG) consists of an interconnection of an electrical grid, communication, and
information networks. The rapid developments of SG technologies have resulted in complex …

Decentralized Smart Grid System: A Survey On Machine Learning-Based Intrusion Detection Approaches

MF Murk, N Zahid, AH Sodhro… - 2022 IEEE 96th Vehicular …, 2022 - ieeexplore.ieee.org
Smart grid is a two-way communication technology power system that sends information
between the control server and consumer. It consists of different IoTs connected to a smart …

[HTML][HTML] Proposed algorithm for smart grid DDoS detection based on deep learning

SY Diaba, M Elmusrati - Neural Networks, 2023 - Elsevier
Abstract The Smart Grid's objective is to increase the electric grid's dependability, security,
and efficiency through extensive digital information and control technology deployment. As a …