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

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...

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Bibliographic Details
Main Authors: Tieming Chen, Yunpeng Chen, Mingqi Lv, Gongxun He, Tiantian Zhu, Ting Wang, Zhengqiu Weng
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Applied Sciences
Subjects:
malicious traffic detection
HTTP payload
Data augmentation
Transfer learning
semi-supervised learning
Online Access:https://www.mdpi.com/2076-3417/11/16/7188

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https://www.mdpi.com/2076-3417/11/16/7188

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