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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| المؤلفون الرئيسيون: | , |
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| التنسيق: | Artigo |
| اللغة: | Inglês |
| منشور في: |
Nature Portfolio
2025-10-01
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| سلاسل: | Scientific Reports |
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://doi.org/10.1038/s41598-025-21261-6 |
| الوسوم: |
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