Cyber threats to smart grids: Review, taxonomy, potential solutions, and future directions

J Ding, A Qammar, Z Zhang, A Karim, H Ning - Energies, 2022 - mdpi.com
Smart Grids (SGs) are governed by advanced computing, control technologies, and
networking infrastructure. However, compromised cybersecurity of the smart grid not only …

Blockchain-enabled smart grid applications: Architecture, challenges, and solutions

B Appasani, SK Mishra, AV Jha, SK Mishra, FM Enescu… - Sustainability, 2022 - mdpi.com
The conventional electrical grid is undergoing substantial growth for reliable grid operation
and for more efficient and sustainable energy use. The traditional grid is now …

“why should i trust your ids?”: An explainable deep learning framework for intrusion detection systems in internet of things networks

Z Abou El Houda, B Brik… - IEEE Open Journal of the …, 2022 - ieeexplore.ieee.org
Internet of Things (IoT) is an emerging paradigm that is turning and revolutionizing
worldwide cities into smart cities. However, this emergence is accompanied with several …

Mitfed: A privacy preserving collaborative network attack mitigation framework based on federated learning using sdn and blockchain

Z Abou El Houda, AS Hafid… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Distributed denial-of-service (DDoS) attacks continue to grow at a rapid rate plaguing
Internet Service Providers (ISPs) and individuals in a stealthy way. Thus, intrusion detection …

When collaborative federated learning meets blockchain to preserve privacy in healthcare

Z Abou El Houda, AS Hafid… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Data-driven Machine and Deep Learning (ML/DL) is an emerging approach that uses
medical data to build robust and accurate ML/DL models that can improve clinical decisions …

Distributed denial of service (DDoS) mitigation using blockchain—A comprehensive insight

S Wani, M Imthiyas, H Almohamedh, KM Alhamed… - Symmetry, 2021 - mdpi.com
Distributed Denial of Service (DDoS) attack is a major threat impeding service to legitimate
requests on any network. Although the first DDoS attack was reported in 1996, the …

Ensemble learning for intrusion detection in SDN-based zero touch smart grid systems

Z Abou El Houda, B Brik… - 2022 IEEE 47th …, 2022 - ieeexplore.ieee.org
Software-defined network (SDN) is widely deployed on Smart Grid (SG) systems. It consists
in decoupling control and data planes, to automate the monitoring and management of the …

Exploring the convergence of Metaverse, Blockchain, Artificial Intelligence, and digital twin for pioneering the digitization in the envision smart grid 3.0

M Adnan, I Ahmed, S Iqbal, MR Fazal, SJ Siddiqi… - Computers and …, 2024 - Elsevier
The ongoing evolution of the Metaverse, digital twin (DT), artificial intelligence (AI), and
Blockchain technologies is fundamentally transforming the utilization of sustainable energy …

Blockchain for distributed energy resources management and integration

S Cantillo-Luna, R Moreno-Chuquen… - IEEE …, 2022 - ieeexplore.ieee.org
Power grids all over the world are transitioning towards a decentralized structure. Under
such a transition, blockchain technology is emerging as a potential solution for technical …

A novel machine learning framework for advanced attack detection using sdn

Z Abou El Houda, AS Hafid… - 2021 IEEE Global …, 2021 - ieeexplore.ieee.org
Recently, software defined networks (SDN) has emerged as novel technology that leverages
network programmability to facilitate network management. SDN provides a global view of …