Data Augmentation-Based Enhancement for Efficient Network Traffic Classification

The necessity of Network traffic classification is becoming increasingly significant as users’ applications and devices become more diverse and prevalent. As encryption becomes the norm for security reasons, the traffic classification problem is not easily solved. In this work, we provide an...

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Hlavní autoři:	Chang-Yui Shin, Yang-Seo Choi, Myung-Sup Kim
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2025-01-01
Edice:	IEEE Access
Témata:	Network traffic classification data augmentation generative adversarial networks tabular robustness
On-line přístup:	https://ieeexplore.ieee.org/document/10819380/
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