Crossing roads of federated learning and smart grids: Overview, challenges, and perspectives

H Bousbiat, R Bousselidj, Y Himeur, A Amira… - arXiv preprint arXiv …, 2023 - arxiv.org
Consumer's privacy is a main concern in Smart Grids (SGs) due to the sensitivity of energy
data, particularly when used to train machine learning models for different services. These …

Smart meters for smart energy: a review of business intelligence applications

MH Raza, YM Rind, I Javed, M Zubair… - IEEE …, 2023 - ieeexplore.ieee.org
Smart Energy (SE) has emerged as a critical technology in tackling global challenges like
climate change while addressing the rising energy demands driven by today's data …

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 hierarchical federated learning-based intrusion detection system for 5g smart grids

X Sun, Z Tang, M Du, C Deng, W Lin, J Chen, Q Qi… - Electronics, 2022 - mdpi.com
As the core component of smart grids, advanced metering infrastructure (AMI) provides the
communication and control functions to implement critical services, which makes its security …

Intrusion Detection based on Federated Learning: a systematic review

JL Hernandez-Ramos, G Karopoulos… - arXiv preprint arXiv …, 2023 - arxiv.org
The evolution of cybersecurity is undoubtedly associated and intertwined with the
development and improvement of artificial intelligence (AI). As a key tool for realizing more …

Developing an Intelligent Decision Support System for large-scale smart grid communication network planning

MA Mochinski, M Biczkowski, IJ Chueiri… - Knowledge-Based …, 2024 - Elsevier
The placement of routers and gateways in wireless communication networks for Smart Grid
Advanced Metering Infrastructure (AMI) is a complex problem often addressed in the …

An intelligent native network slicing security architecture empowered by federated learning

R Moreira, RS Villaça, MRN Ribeiro… - Future Generation …, 2025 - Elsevier
Network Slicing (NS) has transformed the landscape of resource sharing in networks,
offering flexibility to support services and applications with highly variable requirements in …

Autonomous federated learning for distributed intrusion detection systems in public networks

ABZ Mahmoodi, S Sheikhi, E Peltonen… - IEEE Access, 2023 - ieeexplore.ieee.org
The rapid integration of IoT, cloud, and edge computing has resulted in highly
interconnected networks, emphasizing the need for advanced Intrusion Detection Systems …

[HTML][HTML] A comprehensive survey of Federated Intrusion Detection Systems: Techniques, challenges and solutions

I Makris, A Karampasi, P Radoglou-Grammatikis… - Computer Science …, 2025 - Elsevier
Cyberattacks have increased radically over the last years, while the exploitation of Artificial
Intelligence (AI) leads to the implementation of even smarter attacks which subsequently …

Real-time intrusion detection and prevention system for 5G and beyond software-defined networks

R Bocu, M Iavich - Symmetry, 2022 - mdpi.com
The philosophy of the IoT world is becoming important for a projected, always-connected
world. The 5G networks will significantly improve the value of 4G networks in the day-to-day …