Application of adversarial machine learning in network intrusion detection
In recent years, machine learning (ML) has become the mainstream network intrusion detection system(NIDS).However, the inherent vulnerabilities of machine learning make it difficult to resist adversarial attacks, which can mislead the models by adding subtle perturbations to the input sample.Adversa...
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Main Authors: | , , , , |
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Format: | Article |
Language: | zho |
Published: |
Editorial Department of Journal on Communications
2021-11-01
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Series: | Tongxin xuebao |
Subjects: | |
Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021193/ |
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