Identification method for malicious traffic in industrial Internet under new unknown attack scenarios

Identification method for malicious traffic in industrial Internet under new unknown attack scenarios

Aiming at the problem of traffic data distribution shift caused by new unknown attacks in the industrial Internet, a malicious traffic identification method based on neighborhood filtering and stable learning was proposed to enhance the effectiveness and robustness of the existing graph neural netwo...

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Bibliographic Details
Main Authors: ZENG Fanyi, MAN Dapeng, XU Chen, HAN Shuai, WANG Huanran, ZHOU Xue, LI Xinchun, YANG Wu
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2024-06-01
Series:Tongxin xuebao
Subjects:
industrial Internet
malicious traffic identification
graph neural network
neighborhood filtering
stable learning
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024093/
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http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024093/

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