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Found 4 papers, 1 papers with code
Deep Attention Recognition for Attack Identification in 5G UAV scenarios: Novel Architecture and End-to-End Evaluation
We compare several performance parameters in our proposed Deep Network.
A Synthetic Dataset for 5G UAV Attacks Based on Observable Network Parameters
Synthetic datasets are beneficial for machine learning researchers due to the possibility of experimenting with new strategies and algorithms in the training and testing phases.
A Convolutional Attention Based Deep Network Solution for UAV Network Attack Recognition over Fading Channels and Interference
When users exchange data with Unmanned Aerial vehicles - (UAVs) over air-to-ground (A2G) wireless communication networks, they expose the link to attacks that could increase packet loss and might disrupt connectivity.
Implementation of A Spatial Channel Model for ns-3
The next generation of wireless networks will feature a more flexible radio access design, integrating multiple new technological solutions (e. g., massive Multiple-Input Multiple-Output (MIMO), millimeter waves) to satisfy different verticals and use cases.
Networking and Internet Architecture Signal Processing
