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

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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/thesisDetails#10.11959/j.issn.1000-436x.2024093
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