STATISTICAL AND MACHINE LEARNING APPROACHES FOR DETECTING ANOMALIES IN LARGE-VOLUME NETWORK TRAFFIC

Fuente: Zenodo

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Bibliographic Details
Main Author:	Ozodbek Rakhmonov
Format:	Recurso digital
Language:	English
Published:	Zenodo 2025
Subjects:	Network traffic analysis anomaly detection big data statistical approaches supervised learning unsupervised learning autoencoder hybrid model IoT security cloud computing 5G networks real-time monitoring post-quantum cryptography
Online Access:	Acceder al recurso
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