104 citations · 108 across the 5 of their papers we have counts for
7 papers
What Is the Cost of a Handover Interruption? Rethinking 5G Mobility for Aerial Vehicles
André Melo, Yueqi Chen, Igor Kadota +1
Low-altitude aviation is moving toward large-scale operations increasingly dependent on 5G cellular connectivity. However, 5G mobility remains blind to the operational risk of its…
Who Can Safely Wait? Risk-Aware 5G Scheduling for Low-Altitude UAV Operation
André Melo, Yueqi Chen, Lourenço Pereira +1
Cellular-connected UAV operations already fly in many countries. However, cellular networks were designed for terrestrial users and remain blind to the operational consequences of…
FlyBlind: Cross-Slice Timeliness Attacks on UAV Situational Awareness over 5G
Wagner Comin Sonaglio, Ágney Lopes Roth Ferraz, Sidnei Barbieri +3
Beyond Visual Line of Sight (BVLOS) Uncrewed Aerial Systems (UAS) operating over 5G Standalone (SA) networks use a shared User Plane for both command-and-control (C2) data and vide…
Permissioned Blockchain in Advanced Air Mobility: A Performance Analysis for UTM
Rodrigo Nunes, André Melo, Rafael Albarello +3
The integration of Uncrewed Aerial Vehicles (UAVs) into low-altitude airspace has led authorities to adopt distributed Uncrewed Traffic Management (UTM) architectures that ensure i…
Anomaly-Flow: A Multi-domain Federated Generative Adversarial Network for Distributed Denial-of-Service Detection
Leonardo Henrique de Melo, Gustavo de Carvalho Bertoli, Michele Nogueira +2
Distributed denial-of-service (DDoS) attacks remain a critical threat to Internet services, causing costly disruptions. While machine learning (ML) has shown promise in DDoS detect…
Generalizing intrusion detection for heterogeneous networks: A stacked-unsupervised federated learning approach
Gustavo de Carvalho Bertoli, Lourenço Alves Pereira Junior, Aldri Luiz dos Santos +1
The constantly evolving digital transformation imposes new requirements on our society. Aspects relating to reliance on the networking domain and the difficulty of achieving securi…
Bridging the gap to real-world for network intrusion detection systems with data-centric approach
Gustavo de Carvalho Bertoli, Lourenço Alves Pereira Junior, Filipe Alves Neto Verri +2
Most research using machine learning (ML) for network intrusion detection systems (NIDS) uses well-established datasets such as KDD-CUP99, NSL-KDD, UNSW-NB15, and CICIDS-2017. In t…