Edge learning for 6g-enabled internet of things: A comprehensive survey of vulnerabilities, datasets, and defenses

MA Ferrag, O Friha, B Kantarci… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The deployment of the fifth-generation (5G) wireless networks in Internet of Everything (IoE)
applications and future networks (eg, sixth-generation (6G) networks) has raised a number …

Federated deep learning for cyber security in the internet of things: Concepts, applications, and experimental analysis

MA Ferrag, O Friha, L Maglaras, H Janicke… - IEEE Access, 2021 - ieeexplore.ieee.org
In this article, we present a comprehensive study with an experimental analysis of federated
deep learning approaches for cyber security in the Internet of Things (IoT) applications …

A novel federated edge learning approach for detecting cyberattacks in IoT infrastructures

S Abbas, A Al Hejaili, GA Sampedro, M Abisado… - IEEE …, 2023 - ieeexplore.ieee.org
The advancement of the communications system has resulted in the rise of the Internet of
Things (IoT), which has increased the importance of cybersecurity research. IoT, which …

Securing internet of things using machine and deep learning methods: a survey

A Ghaffari, N Jelodari, S pouralish, N derakhshanfard… - Cluster …, 2024 - Springer
Abstract The Internet of Things (IoT) is a vast network of devices with sensors or actuators
connected through wired or wireless networks. It has a transformative effect on integrating …

Security in IoT-driven mobile edge computing: New paradigms, challenges, and opportunities

S Garg, K Kaur, G Kaddoum, P Garigipati… - IEEE Network, 2021 - ieeexplore.ieee.org
With the exponential growth in the number of connected devices, in recent years there has
been a paradigm shift toward mobile edge computing. As a promising edge technology, it …

Poisoning attacks in federated edge learning for digital twin 6g-enabled iots: An anticipatory study

MA Ferrag, B Kantarci, LC Cordeiro… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
Federated edge learning can be essential in supporting privacy-preserving, artificial
intelligence (AI)-enabled activities in digital twin 6G-enabled Internet of Things (IoT) …

Empowering Security and Trust in 5G and Beyond: A Deep Reinforcement Learning Approach

H Moudoud, S Cherkaoui - IEEE Open Journal of the …, 2023 - ieeexplore.ieee.org
Recent advances in 5G and beyond have further expanded the potential of IoT applications,
bringing unprecedented levels of connectivity, speed, and low latency. However, these …

Edge artificial intelligence for 6G: Vision, enabling technologies, and applications

KB Letaief, Y Shi, J Lu, J Lu - IEEE Journal on Selected Areas …, 2021 - ieeexplore.ieee.org
The thriving of artificial intelligence (AI) applications is driving the further evolution of
wireless networks. It has been envisioned that 6G will be transformative and will …

Internet of things (iot) security intelligence: a comprehensive overview, machine learning solutions and research directions

IH Sarker, AI Khan, YB Abushark, F Alsolami - Mobile Networks and …, 2023 - Springer
Abstract The Internet of Things (IoT) is one of the most widely used technologies today, and
it has a significant effect on our lives in a variety of ways, including social, commercial, and …

Securing the Internet of Things using machine learning: a review

S Malik, R Chauhan - … on Convergence to Digital World-Quo …, 2020 - ieeexplore.ieee.org
The Internet of Things facilitates integration of massive group of devices into networks to
provide data for an ever-growing number of applications. The current and future IoT …