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...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Jee-Tae Park, Yang-Seo Choi, Bu-Seung Cho, Seung-Hae Kim, Myung-Sup Kim
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Subjects:	Encrypted traffic classification pre-training model multi-level traffic representation
Online Access:	https://ieeexplore.ieee.org/document/10960299/