Automatic Evasion of Machine Learning-Based Network Intrusion Detection Systems-Reference-Cited by-同舟云学术

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Automatic Evasion of Machine Learning-Based Network Intrusion Detection Systems

Published:2024-01 Issue:1 Volume:21 Page:153-167
ISSN:1545-5971
Container-title:IEEE Transactions on Dependable and Secure Computing
language:
Short-container-title:IEEE Trans. Dependable and Secure Comput.

Author:

Yan Haonan¹^ORCID,Li Xiaoguang¹^ORCID,Zhang Wenjing²^ORCID,Wang Rui¹,Li Hui¹^ORCID,Zhao Xingwen¹,Li Fenghua³,Lin Xiaodong²^ORCID

Affiliation:

1. State Key Laboratory of Integrated Services Networks, School of Cyber Engineering, Xidian University, Xi’an, China

2. School of Computer Science, University of Guelph, Guelph, ON, Canada

3. State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academic of Sciences, Beijing, China

Funder

National Key Research and Development Program of China

Shaanxi innovation team

Higher Education Discipline Innovation Project

University of Guelph

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/8858/10400751/10049650.pdf?arnumber=10049650

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A survey on graph neural networks for intrusion detection systems: Methods, trends and challenges;Computers & Security;2024-06

2. Adversarial Example Attacks and Defenses in DNS Data Exfiltration;Communications in Computer and Information Science;2024

3. Evasion Scheme for Intrusion Detection System Based on Demgan;2024

4. Empirical Evaluation of Autoencoder Models for Anomaly Detection in Packet-based NIDS;2023 IEEE Conference on Dependable and Secure Computing (DSC);2023-11-07

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