Robust Classification of Encrypted Network Services Using Convolutional Neural Networks Optimized by Information Bottleneck Method

The rapid growth of encrypted network traffic poses significant challenges for network monitoring and security systems, as traditional methods often fail to accurately classify encrypted services. This paper proposes a novel approach to achieve robust classification of encrypted network services usi...

詳細記述

書誌詳細

出版年:	IEEE Access
主要な著者:	Zhijiong Wang, Wei Lin, Yu Chen, Mang I. Vai
フォーマット:	論文
言語:	英語
出版事項:	IEEE 2025-01-01
主題:	Network traffic classification convolutional neural network information bottleneck encrypted network traffic
オンライン･アクセス:	https://ieeexplore.ieee.org/document/10902380/