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

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Détails bibliographiques
Auteur principal:	Ozodbek Rakhmonov
Format:	Recurso digital
Langue:	anglais
Publié:	Zenodo 2025
Sujets:	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
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

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