Anomaly traffic detection method based on data augmentation and feature mining

Anomaly traffic detection method based on data augmentation and feature mining

To address the limitations of existing anomaly traffic detection methods, such as insufficient recognition accuracy for minority classes and limited deep feature extraction capabilities, a novel anomaly traffic detection method based on data augmentation and feature mining was proposed. Firstly, a p...

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Bibliographic Details
Main Authors: AN Yishuai, FU Yu, YU Yihan, LIU Taotao
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2025-01-01
Series:Tongxin xuebao
Subjects:
anomaly traffic detection
deep learning
generative adversarial network
feature correlation mining
graph neural networks
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2025145/
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http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2025145/

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