Security and privacy on 6g network edge: A survey
B Mao, J Liu, Y Wu, N Kato - IEEE communications surveys & …, 2023 - ieeexplore.ieee.org
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 …
Federated reinforcement learning: Techniques, applications, and open challenges
J Qi, Q Zhou, L Lei, K Zheng - arXiv preprint arXiv:2108.11887, 2021 - arxiv.org
This paper presents a comprehensive survey of Federated Reinforcement Learning (FRL),
an emerging and promising field in Reinforcement Learning (RL). Starting with a tutorial of …
an emerging and promising field in Reinforcement Learning (RL). Starting with a tutorial of …
Federated reinforcement learning in IoT: applications, opportunities and open challenges
EC Pinto Neto, S Sadeghi, X Zhang, S Dadkhah - Applied Sciences, 2023 - mdpi.com
The internet of things (IoT) represents a disruptive concept that has been changing society in
several ways. There have been several successful applications of IoT in the industry. For …
several ways. There have been several successful applications of IoT in the industry. For …
[PDF][PDF] Detection Collision Flows in SDN Based 5G Using Machine Learning Algorithms.
A Aqdus, R Amin, S Ramzan… - … Materials & Continua, 2023 - cdn.techscience.cn
The rapid advancement of wireless communication is forming a hyper-connected 5G
network in which billions of linked devices generate massive amounts of data. The traffic …
network in which billions of linked devices generate massive amounts of data. The traffic …
On the physical layer security of federated learning based IoMT networks
J Ahmed, TN Nguyen, B Ali, MA Javed… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Internet of Medical Things (IoMT) connects different medical devices, health sensors and
hospital records to data platforms using wireless communications. Federated Learning (FL) …
hospital records to data platforms using wireless communications. Federated Learning (FL) …
Deep Reinforcement Learning for intrusion detection in Internet of Things: Best practices, lessons learnt, and open challenges
A Rizzardi, S Sicari, AC Porisini - Computer Networks, 2023 - Elsevier
Abstract The Internet of Things (IoT) scenario places important challenges even for deep
learning-based intrusion detection systems. IoTs are highly heterogeneous networks in …
learning-based intrusion detection systems. IoTs are highly heterogeneous networks in …
LtRFT: Mitigate the low-rate data plane DDoS attack with learning-to-rank enabled flow tables
D Tang, Y Yan, C Gao, W Liang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Software-Defined Networking (SDN) switches typically have limited ternary content
addressable memory (TCAM) that caches the flow entries on the data plane. The scarcity …
addressable memory (TCAM) that caches the flow entries on the data plane. The scarcity …
LBABC: Distributed controller load balancing using artificial bee colony optimization in an SDN
K Sridevi, MA Saifulla - Peer-to-Peer Networking and Applications, 2023 - Springer
Abstract Software Defined Networking (SDN) is a popular paradigm in modern networking.
Specifically distributed SDN is an emerging area because of the problems present with …
Specifically distributed SDN is an emerging area because of the problems present with …
Federated-reinforcement-learning-enabled joint communication, sensing, and computing resources allocation in connected automated vehicles networks
Q Zhang, H Wen, Y Liu, S Chang… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
For future connected automated vehicles (CAVs) networks, the joint optimization of
communication, sensing, and computing resources is crucial to guarantee the performance …
communication, sensing, and computing resources is crucial to guarantee the performance …
Tensor-empowered federated learning for cyber-physical-social computing and communication systems
LT Yang, R Zhao, D Liu, W Lu… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The deep fusion of human-centered Cyber-Physical-Social Systems (CPSSs) has attracted
widespread attention worldwide and big data as the blood of CPSSs could lay a solid data …
widespread attention worldwide and big data as the blood of CPSSs could lay a solid data …