Machine learning-based intrusion detection for smart grid computing: A survey

N Sahani, R Zhu, JH Cho, CC Liu - ACM Transactions on Cyber-Physical …, 2023 - dl.acm.org
Machine learning (ML)-based intrusion detection system (IDS) approaches have been
significantly applied and advanced the state-of-the-art system security and defense …

Intelligent intrusion detection system in smart grid using computational intelligence and machine learning

S Khan, K Kifayat, A Kashif Bashir… - Transactions on …, 2021 - Wiley Online Library
Smart grid systems enhanced the capability of traditional power networks while being
vulnerable to different types of cyber‐attacks. These vulnerabilities could cause attackers to …

A review of rule learning-based intrusion detection systems and their prospects in smart grids

Q Liu, V Hagenmeyer, HB Keller - IEEE Access, 2021 - ieeexplore.ieee.org
Intrusion detection systems (IDS) are commonly categorized into misuse based, anomaly
based and specification based IDS. Both misuse based IDS and anomaly based IDS are …

Gradient boosting feature selection with machine learning classifiers for intrusion detection on power grids

D Upadhyay, J Manero, M Zaman… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Smart grids rely on SCADA (Supervisory Control and Data Acquisition) systems to monitor
and control complex electrical networks in order to provide reliable energy to homes and …

Distributed intrusion detection system in a multi-layer network architecture of smart grids

Y Zhang, L Wang, W Sun, RC Green II… - IEEE Transactions on …, 2011 - ieeexplore.ieee.org
The advent of the smart grid promises to usher in an era that will bring intelligence,
efficiency, and optimality to the power grid. Most of these changes will occur as an Internet …

A nifty collaborative intrusion detection and prevention architecture for smart grid ecosystems

A Patel, H Alhussian, JM Pedersen, B Bounabat… - Computers & …, 2017 - Elsevier
Smart Grid (SG) systems are critical, intelligent infrastructure utility services connected
through open networks that are potentially susceptible to cyber-attacks with very acute …

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 …

Physical layer attack identification and localization in cyber–physical grid: An ensemble deep learning based approach

J Sakhnini, H Karimipour, A Dehghantanha… - Physical …, 2021 - Elsevier
The massive integration of low-cost communication networks and Internet of Things (IoT) in
today's cyber–physical grids has been accompanied by significant concerns regarding …

An anomaly-based intrusion detection system for the smart grid based on cart decision tree

PI Radoglou-Grammatikis… - 2018 global information …, 2018 - ieeexplore.ieee.org
The Smart Grid (SG) paradigm constitutes the new technological evolution of the traditional
electrical grid, providing remote monitoring and controlling capabilities among all its …

A survey of intrusion detection systems in smart grid

J Jow, Y Xiao, W Han - International Journal of Sensor …, 2017 - inderscienceonline.com
Smart grid has emerged as an option-loaded, efficient replacement of the out-of-date power
grid infrastructure. However, with the introduction of smart grid systems and the many …