A privacy-conserving framework based intrusion detection method for detecting and recognizing malicious behaviours in cyber-physical power networks

IA Khan, D Pi, N Khan, ZU Khan, Y Hussain… - Applied …, 2021 - Springer
Abstract Contemporary Smart Power Systems (SPNs) depend on Cyber-Physical Systems
(CPSs) to connect physical devices and control tools. Developing a robust privacy …

An integrated framework for privacy-preserving based anomaly detection for cyber-physical systems

M Keshk, E Sitnikova, N Moustafa… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Protecting Cyber-physical Systems (CPSs) is highly important for preserving sensitive
information and detecting cyber threats. Developing a robust privacy-preserving anomaly …

Feature selection–based detection of covert cyber deception assaults in smart grid communications networks using machine learning

S Ahmed, Y Lee, SH Hyun, I Koo - IEEE Access, 2018 - ieeexplore.ieee.org
The integration of computing and modern wireless communications techniques is enabling
prolific intelligent monitoring and efficient control of electric power systems in the frameworks …

Smart grid security and privacy: From conventional to machine learning issues (threats and countermeasures)

PH Mirzaee, M Shojafar, H Cruickshank… - IEEE access, 2022 - ieeexplore.ieee.org
Smart Grid (SG) is the revolutionised power network characterised by a bidirectional flow of
energy and information between customers and suppliers. The integration of power …

A robust cyberattack detection approach using optimal features of SCADA power systems in smart grids

A Gumaei, MM Hassan, S Huda, MR Hassan… - Applied Soft …, 2020 - Elsevier
Smart grids are a type of complex cyber–physical system (CPS) that integrates the
communication capabilities of smart devices into the grid to facilitate remote operation and …

A review on cybersecurity analysis, attack detection, and attack defense methods in cyber-physical power systems

D Du, M Zhu, X Li, M Fei, S Bu, L Wu… - Journal of Modern …, 2022 - ieeexplore.ieee.org
Potential malicious cyber-attacks to power systems which are connected to a wide range of
stakeholders from the top to tail will impose significant societal risks and challenges. The …

[HTML][HTML] A review on machine learning techniques for secured cyber-physical systems in smart grid networks

MK Hasan, RA Abdulkadir, S Islam, TR Gadekallu… - Energy Reports, 2024 - Elsevier
The smart grid (SG) is an advanced cyber-physical system (CPS) that integrates power grid
infrastructure with information and communication technologies (ICT). This integration …

Multiattribute SCADA-specific intrusion detection system for power networks

Y Yang, K McLaughlin, S Sezer, T Littler… - … on Power Delivery, 2014 - ieeexplore.ieee.org
The increased interconnectivity and complexity of supervisory control and data acquisition
(SCADA) systems in power system networks has exposed the systems to a multitude of …

[HTML][HTML] 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 …

[HTML][HTML] Real time security assessment of the power system using a hybrid support vector machine and multilayer perceptron neural network algorithms

OA Alimi, K Ouahada, AM Abu-Mahfouz - Sustainability, 2019 - mdpi.com
In today's grid, the technological based cyber-physical systems have continued to be
plagued with cyberattacks and intrusions. Any intrusive action on the power system's …