IoT security: botnet detection in IoT using machine learning
The acceptance of Internet of Things (IoT) applications and services has seen an enormous
rise of interest in IoT. Organizations have begun to create various IoT based gadgets …
rise of interest in IoT. Organizations have begun to create various IoT based gadgets …
[HTML][HTML] A vision on the artificial intelligence for 6G communication
The 6G communication network will be a sixth-sense next-generation communication
network, which will increase the worthiness of the intelligent Internet of Things. With the …
network, which will increase the worthiness of the intelligent Internet of Things. With the …
From federated to fog learning: Distributed machine learning over heterogeneous wireless networks
S Hosseinalipour, CG Brinton… - IEEE …, 2020 - ieeexplore.ieee.org
Machine learning (ML) tasks are becoming ubiquitous in today's network applications.
Federated learning has emerged recently as a technique for training ML models at the …
Federated learning has emerged recently as a technique for training ML models at the …
A survey on deep learning for ultra-reliable and low-latency communications challenges on 6G wireless systems
The sixth generation (6G) wireless communication network presents itself as a promising
technique that can be utilized to provide a fully data-driven network evaluating and …
technique that can be utilized to provide a fully data-driven network evaluating and …
Comprehensive review on ML-based RIS-enhanced IoT systems: basics, research progress and future challenges
Sixth generation (6G) internet of things (IoT) networks will modernize the applications and
satisfy user demands through implementing smart and automated systems. Intelligence …
satisfy user demands through implementing smart and automated systems. Intelligence …
Quantum key distribution secured optical networks: A survey
Increasing incidents of cyber attacks and evolution of quantum computing poses challenges
to secure existing information and communication technologies infrastructure. In recent …
to secure existing information and communication technologies infrastructure. In recent …
Machine learning meets communication networks: Current trends and future challenges
The growing network density and unprecedented increase in network traffic, caused by the
massively expanding number of connected devices and online services, require intelligent …
massively expanding number of connected devices and online services, require intelligent …
Evolution of wireless communication to 6g: Potential applications and research directions
MZ Asghar, SA Memon, J Hämäläinen - Sustainability, 2022 - mdpi.com
The fifth-generation mobile network (5G), as the fundamental enabler of Industry 4.0, has
facilitated digital transformation and smart manufacturing through AI and cloud computing …
facilitated digital transformation and smart manufacturing through AI and cloud computing …
Machine-learning-enabled intrusion detection system for cellular connected UAV networks
R Shrestha, A Omidkar, SA Roudi, R Abbas, S Kim - Electronics, 2021 - mdpi.com
The recent development and adoption of unmanned aerial vehicles (UAVs) is due to its wide
variety of applications in public and private sector from parcel delivery to wildlife …
variety of applications in public and private sector from parcel delivery to wildlife …
Toward 6G internet of things and the convergence with RoF system
N Chen, M Okada - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
The Internet of Things (IoT) has been a promising communication paradigm that involves
sensors, microcontrollers, and transceivers for an efficient communication and computation …
sensors, microcontrollers, and transceivers for an efficient communication and computation …