Federated learning for internet of things: Recent advances, taxonomy, and open challenges
The Internet of Things (IoT) will be ripe for the deployment of novel machine learning
algorithm for both network and application management. However, given the presence of …
algorithm for both network and application management. However, given the presence of …
[PDF][PDF] A comprehensive survey on core technologies and services for 5G security: Taxonomies, issues, and solutions
With the advancement of information and communication technologies, fifth-generation (5G)
has become an emerging communication medium to support higher speed, lower latency …
has become an emerging communication medium to support higher speed, lower latency …
Machine learning-based boosted regression ensemble combined with hyperparameter tuning for optimal adaptive learning
Over the past couple of decades, many telecommunication industries have passed through
the different facets of the digital revolution by integrating artificial intelligence (AI) techniques …
the different facets of the digital revolution by integrating artificial intelligence (AI) techniques …
An integrated cyber security risk management framework and risk predication for the critical infrastructure protection
Cyber security risk management plays an important role for today's businesses due to the
rapidly changing threat landscape and the existence of evolving sophisticated cyber attacks …
rapidly changing threat landscape and the existence of evolving sophisticated cyber attacks …
Analysis of network slicing for management of 5G networks using machine learning techniques
R Singh, A Mehbodniya, JL Webber… - Wireless …, 2022 - Wiley Online Library
Consumer expectations and demands for quality of service (QoS) from network service
providers have risen as a result of the proliferation of devices, applications, and services. An …
providers have risen as a result of the proliferation of devices, applications, and services. An …
[PDF][PDF] DeepBlockScheme: A deep learning-based blockchain driven scheme for secure smart city
Today, the continuous deployment of sensors and the Internet of Things (IoT) has boosted
the amount of manufacturing data in the smart city. Factories are rapidly becoming more …
the amount of manufacturing data in the smart city. Factories are rapidly becoming more …
Federated learning for the internet-of-medical-things: A survey
Recently, in healthcare organizations, real-time data have been collected from connected or
implantable sensors, layered protocol stacks, lightweight communication frameworks, and …
implantable sensors, layered protocol stacks, lightweight communication frameworks, and …
Towards secure and intelligent network slicing for 5g networks
Network slicing is one of the emerging technologies allowing resource sharing among
different network entities in 5G networks. It enables delivering smart, critical, and multi …
different network entities in 5G networks. It enables delivering smart, critical, and multi …
A survey on beyond 5g network slicing for smart cities applications
W Rafique, J Barai, AO Fapojuwo… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Beyond fifth generation (B5G) is expected to tremendously improve network capabilities by
using a higher frequency band compared to 5G, capable of delivering higher network …
using a higher frequency band compared to 5G, capable of delivering higher network …
Integration of network slicing and machine learning into edge networks for low-latency services in 5G and beyond systems
Fifth-generation (5G) and beyond networks are envisioned to serve multiple emerging
applications having diverse and strict quality of service (QoS) requirements. To meet ultra …
applications having diverse and strict quality of service (QoS) requirements. To meet ultra …