Balancing Complexity and Performance in Convolutional Neural Network Models for QUIC Traffic Classification

Balancing Complexity and Performance in Convolutional Neural Network Models for QUIC Traffic Classification

The upcoming deployment of sixth-generation (6G) wireless networks promises to significantly outperform 5G in terms of data rates, spectral efficiency, device densities, and, most importantly, latency and security. To cope with the increasingly complex network traffic, Network Traffic Classification...

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Bibliographic Details
Main Authors: Giovanni Pettorru, Matteo Flumini, Marco Martalò
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Sensors
Subjects:
network traffic classification (NTC)
QUIC
convolutional neural network (CNN)
deep learning (DL)
6G
Online Access:https://www.mdpi.com/1424-8220/25/15/4576
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