1 citations · 1 across the 5 of their papers we have counts for
5 papers
Deep Attention Recognition for Attack Identification in 5G UAV scenarios: Novel Architecture and End-to-End Evaluation
Joseanne Viana, Hamed Farkhari, Pedro Sebastiao +5
Despite the robust security features inherent in the 5G framework, attackers will still discover ways to disrupt 5G unmanned aerial vehicle (UAV) operations and decrease UAV contro…
Accurate and Reliable Methods for 5G UAV Jamming Identification With Calibrated Uncertainty
Hamed Farkhari, Joseanne Viana, Pedro Sebastiao +4
Only increasing accuracy without considering uncertainty may negatively impact Deep Neural Network (DNN) decision-making and decrease its reliability. This paper proposes five comb…
A Convolutional Attention Based Deep Network Solution for UAV Network Attack Recognition over Fading Channels and Interference
Joseanne Viana, Hamed Farkhari, Luis Miguel Campos +5
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…
Two methods for Jamming Identification in UAVs Networks using New Synthetic Dataset
Joseanne Viana, Hamed Farkhari, Luis Miguel Campos +4
Unmanned aerial vehicle (UAV) systems are vulnerable to jamming from self-interested users who utilize radio devices for their benefits during UAV transmissions. The vulnerability…
New PCA-based Category Encoder for Cybersecurity and Processing Data in IoT Devices
Hamed Farkhari, Joseanne Viana, Luis Miguel Campos +2
Increasing the cardinality of categorical variables might decrease the overall performance of machine learning (ML) algorithms. This paper presents a novel computational preprocess…