Convolutional Neural Networks and Mixture of Experts for Intrusion Detection in 5G Networks and beyond

The advent of 6G/NextG networks comes along with a series of benefits, including extreme capacity, reliability, and efficiency. However, these networks may become vulnerable to new security threats. Therefore, 6G/NextG networks must be equipped with advanced Artificial Intelligence algorithms, in or...

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Veröffentlicht in:	arXiv.org 2024-12
Hauptverfasser:	Loukas Ilias, Doukas, George, Lamprou, Vangelis, Ntanos, Christos, Askounis, Dimitris
Format:	Artikel
Sprache:	eng
Schlagworte:	5G mobile communication Ablation Algorithms Artificial intelligence Artificial neural networks Communications traffic Datasets Decision trees Machine learning Mixtures Network reliability Neural networks Representations
Online-Zugang:	Volltext
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