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Security and privacy for 6G: A survey on prospective technologies and challenges
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 …
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 …
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
Abstract Deep Reinforcement Learning (DRL) has shown a dramatic improvement in
decision-making and automated control problems. Consequently, DRL represents a …
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
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 …
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
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 …
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
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 …
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 …
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
Abstract Software-Defined Wide Area Networks (SD-WANs) have emerged as a promising
solution to address the connectivity demands of modern distributed enterprises. However …
solution to address the connectivity demands of modern distributed enterprises. However …
Lightweight privacy-preserving predictive maintenance in 6G enabled IIoT
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 …
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
Software-Defined Wide Area Network (SD-WAN) holds tremendous potential to provide multi-
cloud multi-network interconnection and prevent channel congestion. However, traffic …
cloud multi-network interconnection and prevent channel congestion. However, traffic …