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

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...

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Bibliographic Details
Main Authors: Zhijiong Wang, Wei Lin, Yu Chen, Mang I. Vai
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Network traffic classification
convolutional neural network
information bottleneck
encrypted network traffic
Online Access:https://ieeexplore.ieee.org/document/10902380/
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https://ieeexplore.ieee.org/document/10902380/

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