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A Payload Based Malicious HTTP Traffic Detection Method Using Transfer Semi-Supervised Learning

Malicious HTTP traffic detection plays an important role in web application security. Most existing work applies machine learning and deep learning techniques to build the malicious HTTP traffic detection model. However, they still suffer from the problems of huge training data collection cost and l...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Tieming Chen, Yunpeng Chen, Mingqi Lv, Gongxun He, Tiantian Zhu, Ting Wang, Zhengqiu Weng
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2021-08-01
Schriftenreihe:Applied Sciences
Schlagworte:
malicious traffic detection
HTTP payload
Data augmentation
Transfer learning
semi-supervised learning
Online-Zugang:https://www.mdpi.com/2076-3417/11/16/7188
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