[HTML][HTML] Analysis of cyber security attacks and its solutions for the smart grid using machine learning and blockchain methods

T Mazhar, HM Irfan, S Khan, I Haq, I Ullah, M Iqbal… - Future Internet, 2023 - mdpi.com
Smart grids are rapidly replacing conventional networks on a worldwide scale. A smart grid
has drawbacks, just like any other novel technology. A smart grid cyberattack is one of the …

[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] Cyberattacks in smart grids: challenges and solving the multi-criteria decision-making for cybersecurity options, including ones that incorporate artificial …

AA Bouramdane - Journal of Cybersecurity and Privacy, 2023 - mdpi.com
Smart grids have emerged as a transformative technology in the power sector, enabling
efficient energy management. However, the increased reliance on digital technologies also …

[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 …

[HTML][HTML] Digital transformation of microgrids: a review of design, operation, optimization, and cybersecurity

E Irmak, E Kabalci, Y Kabalci - Energies, 2023 - mdpi.com
This paper provides a comprehensive review of the future digitalization of microgrids to meet
the increasing energy demand. It begins with an overview of the background of microgrids …

A two-stage cyber attack detection and classification system for smart grids

MM Alani, L Mauri, E Damiani - Internet of Things, 2023 - Elsevier
As the adoption of Internet of Things (IoT) devices increases rapidly, industrial applications
of IoT devices gain further popularity. Some of these applications, such as smart grids, are …

The Role of Deep Learning in Advancing Proactive Cybersecurity Measures for Smart Grid Networks: A Survey

N Abdi, A Albaseer, M Abdallah - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
As smart grids (SGs) increasingly rely on advanced technologies like sensors and
communication systems for efficient energy generation, distribution, and consumption, they …

Mitigation of severe false data injection attacks (FDIAs) in marine current turbine (MCT) type 4 synchronous generator renewable energy using promoted backstepping …

H Mahvash, SA Taher, JM Guerrero - Renewable Energy, 2024 - Elsevier
False data injection attack (FDIA) is kind of the most important and prevalent cyber attacks,
influencing in power systems and renewable energy resources in microgrids (MGs). The …

[HTML][HTML] A proficient ZESO-DRKFC model for smart grid SCADA security

OBJ Rabie, PK Balachandran, M Khojah, S Selvarajan - Electronics, 2022 - mdpi.com
Smart grids are complex cyber-physical systems that incorporate smart devices'
communication capabilities into the grid to enable remote management and the control of …

[HTML][HTML] Internet threat detection in smart grids based on network traffic analysis using lstm, if, and svm

S Stryczek, M Natkaniec - Energies, 2022 - mdpi.com
The protection of users of ICT networks, including smart grids, is a challenge whose
importance is constantly growing. Internet of Things (IoT) or Internet of Energy (IoE) devices …