Enhancing encrypted HTTPS traffic classification based on stacked deep ensembles models

Abstract The classification of encrypted HTTPS traffic is a critical task for network management and security, where traditional port or payload-based methods are ineffective due to encryption and evolving traffic patterns. This study addresses the challenge using the public Kaggle dataset (145,671...

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Auteurs principaux:	Ahmed M. Elshewey, Ahmed M. Osman
Format:	Artigo
Langue:	Inglês
Publié:	Nature Portfolio 2025-10-01
Collection:	Scientific Reports
Sujets:	HTTPS traffic classification Encrypted traffic Network security Network traffic classification Deep learning Ensemble learning
Accès en ligne:	https://doi.org/10.1038/s41598-025-21261-6
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