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A Convolutional Attention Based Deep Network Solution for UAV Network
  Attack Recognition over Fading Channels and Interference

A Convolutional Attention Based Deep Network Solution for UAV Network Attack Recognition over Fading Channels and Interference

16 July 2022
Joseanne Viana
Hamed Farkhari
L. M. Campos
P. Sebastião
Katerina Koutlia
S. Lagén
Luís Bernardo
R. Dinis
    AAML
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Papers citing "A Convolutional Attention Based Deep Network Solution for UAV Network Attack Recognition over Fading Channels and Interference"

2 / 2 papers shown
Title
A Synthetic Dataset for 5G UAV Attacks Based on Observable Network
  Parameters
A Synthetic Dataset for 5G UAV Attacks Based on Observable Network Parameters
Joseanne Viana
Hamed Farkhari
P. Sebastião
S. Lagén
Katerina Koutlia
Biljana Bojović
R. Dinis
22
4
0
05 Nov 2022
Accurate and Reliable Methods for 5G UAV Jamming Identification With
  Calibrated Uncertainty
Accurate and Reliable Methods for 5G UAV Jamming Identification With Calibrated Uncertainty
Hamed Farkhari
Joseanne Viana
P. Sebastião
L. M. Campos
Luís Bernardo
R. Dinis
Sarang Kahvazadeh
UQCV
10
2
0
05 Nov 2022
1