Self-Supervised Learning Meets Custom Autoencoder Classifier: A Semi-Supervised Approach for Encrypted Traffic Anomaly Detection

The widespread adoption of encryption in computer networks has made detecting malicious traffic, especially at network perimeters, increasingly challenging. As packet contents are concealed, traditional monitoring techniques such as Deep Packet Inspection (DPI) become ineffective. Consequently, rese...

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發表在:	IEEE Access
Main Authors:	A. Ramzi Bahlali, Abdelmalik Bachir, Abdeldjalil Labed
格式:	Article
語言:	英语
出版:	IEEE 2025-01-01
主題:	Autoencoder (AE) anomaly detection (AD) deep learning (DL) intrusion detection self-supervised learning (SSL) semi-supervised Learning
在線閱讀:	https://ieeexplore.ieee.org/document/11113262/