Security and privacy for 6G: A survey on prospective technologies and challenges

VL Nguyen, PC Lin, BC Cheng… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
Sixth-generation (6G) mobile networks will have to cope with diverse threats on a space-air-
ground integrated network environment, novel technologies, and an accessible user …

Survey on machine learning for traffic-driven service provisioning in optical networks

T Panayiotou, M Michalopoulou… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The unprecedented growth of the global Internet traffic, coupled with the large spatio-
temporal fluctuations that create, to some extent, predictable tidal traffic conditions, are …

Deep reinforcement learning meets graph neural networks: Exploring a routing optimization use case

P Almasan, J Suárez-Varela, K Rusek… - Computer …, 2022 - Elsevier
Abstract Deep Reinforcement Learning (DRL) has shown a dramatic improvement in
decision-making and automated control problems. Consequently, DRL represents a …

Evolution toward intelligent communications: Impact of deep learning applications on the future of 6G technology

M Abd Elaziz, MAA Al‐qaness, A Dahou… - … : Data Mining and …, 2024 - Wiley Online Library
The sixth generation (6G) represents the next evolution in wireless communication
technology and is currently under research and development. It is expected to deliver faster …

[HTML][HTML] A survey of deep reinforcement learning application in 5G and beyond network slicing and virtualization

C Ssengonzi, OP Kogeda, TO Olwal - Array, 2022 - Elsevier
Abstract The 5th Generation (5G) and beyond networks are expected to offer huge
throughputs, connect large number of devices, support low latency and large numbers of …

[HTML][HTML] Which industrial sectors are affected by artificial intelligence? A bibliometric analysis of trends and Perspectives

L Espina-Romero, JG Noroño Sánchez… - Sustainability, 2023 - mdpi.com
In recent times, artificial intelligence (AI) has been generating a significant impact in various
industry sectors, which implies that companies must be ready to adjust to this promising start …

Real-time malicious traffic detection with online isolation forest over sd-wan

P Zhang, F He, H Zhang, J Hu, X Huang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Software Defined Network (SDN) has been widely used in modern network architecture. The
SD-WAN is considered as a technology that has a potential to revolutionize the WAN service …

[HTML][HTML] Adaptive overlay selection at the SD-WAN edges: A reinforcement learning approach with networked agents

A Botta, R Canonico, A Navarro, G Stanco, G Ventre - Computer Networks, 2024 - Elsevier
Abstract Software-Defined Wide Area Networks (SD-WANs) have emerged as a promising
solution to address the connectivity demands of modern distributed enterprises. However …

Lightweight privacy-preserving predictive maintenance in 6G enabled IIoT

H Li, S Li, G Min - Journal of Industrial Information Integration, 2024 - Elsevier
While the 5G is being rolled out in different industrial sectors, the 6G is expected to
implement data-driven ubiquitous machine learning for industrial information integration …

Load balancing optimization in software-defined wide area networking (SD-WAN) using deep reinforcement learning

MA Ouamri, G Barb, D Singh… - … Symposium on Electronics …, 2022 - ieeexplore.ieee.org
Software-Defined Wide Area Network (SD-WAN) holds tremendous potential to provide multi-
cloud multi-network interconnection and prevent channel congestion. However, traffic …