Security and privacy on 6g network edge: A survey
To meet the stringent service requirements of 6G applications such as immersive cloud
eXtended Reality (XR), holographic communication, and digital twin, there is no doubt that …
eXtended Reality (XR), holographic communication, and digital twin, there is no doubt that …
Edge learning for 6g-enabled internet of things: A comprehensive survey of vulnerabilities, datasets, and defenses
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 …
applications and future networks (eg, sixth-generation (6G) networks) has raised a number …
A lightweight malware traffic classification method based on a broad learning architecture
Malware traffic classification (MTC) plays an important role for securing the Internet of Things
(IoT). Many machine learning (ML) and deep learning (DL)-based MTC methods have been …
(IoT). Many machine learning (ML) and deep learning (DL)-based MTC methods have been …
Contemporary advances in multi-access edge computing: A survey of fundamentals, architecture, technologies, deployment cases, security, challenges, and directions
M Mahbub, RM Shubair - Journal of Network and Computer Applications, 2023 - Elsevier
With advancements of cloud technologies Multi-Access Edge Computing (MEC) emerged as
a remarkable edge-cloud technology to provide computing facilities to resource-restrained …
a remarkable edge-cloud technology to provide computing facilities to resource-restrained …
Security of federated learning in 6G era: A review on conceptual techniques and software platforms used for research and analysis
Federated Learning (FL) is an emerging Artificial Intelligence (AI) paradigm enabling
multiple parties to train a model collaboratively without sharing their data. With the upcoming …
multiple parties to train a model collaboratively without sharing their data. With the upcoming …
Catfl: Certificateless authentication-based trustworthy federated learning for 6g semantic communications
G Li, Y Zhao, Y Li - 2023 IEEE Wireless Communications and …, 2023 - ieeexplore.ieee.org
Federated learning (FL) provides an emerging approach for collaboratively training
semantic encoder/decoder models of semantic communication systems, without private user …
semantic encoder/decoder models of semantic communication systems, without private user …
Secure Video Offloading in Multi-UAV-Enabled MEC Networks: A Deep Reinforcement Learning Approach
Unmanned aerial vehicle (UAV)-enabled mobile-edge computing (MEC) has been widely
applied in Internet of Things networks while the security risk of wireless computation …
applied in Internet of Things networks while the security risk of wireless computation …
Revolutionizing future connectivity: A contemporary survey on AI-empowered satellite-based non-terrestrial networks in 6G
Non-Terrestrial Networks (NTN) are expected to be a critical component of 6th Generation
(6G) networks, providing ubiquitous, continuous, and scalable services. Satellites emerge as …
(6G) networks, providing ubiquitous, continuous, and scalable services. Satellites emerge as …
A survey on XAI for beyond 5G security: technical aspects, use cases, challenges and research directions
With the advent of 5G commercialization, the need for more reliable, faster, and intelligent
telecommunication systems are envisaged for the next generation beyond 5G (B5G) radio …
telecommunication systems are envisaged for the next generation beyond 5G (B5G) radio …
[HTML][HTML] Joint Optimization Scheme of User Association and Channel Allocation in 6G HetNets
The sixth-generation (6G) wireless cellular network integrates several wireless bands and
modes with the objectives of improving quality of service (QoS) and increasing network …
modes with the objectives of improving quality of service (QoS) and increasing network …