Multi-Level Pre-Training for Encrypted Network Traffic Classification

With the recent growth of network environments, the use of encrypted traffic has increased, making traditional methods less effective. Consequently, research on encrypted traffic analysis using Machine Learning (ML) and Deep Learning (DL) techniques has become more widespread, with pre-training meth...

Celý popis

Podrobná bibliografie

Hlavní autoři:	Jee-Tae Park, Yang-Seo Choi, Bu-Seung Cho, Seung-Hae Kim, Myung-Sup Kim
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2025-01-01
Edice:	IEEE Access
Témata:	Encrypted traffic classification pre-training model multi-level traffic representation
On-line přístup:	https://ieeexplore.ieee.org/document/10960299/
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!