G-IDS: Generative Adversarial Networks Assisted Intrusion Detection System-Reference-Cited by-同舟云学术

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G-IDS: Generative Adversarial Networks Assisted Intrusion Detection System

Published:2020-07 Issue: Volume: Page:
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Container-title:2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC)
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Author:

Shahriar Md Hasan,Haque Nur Imtiazul,Rahman Mohammad Ashiqur,Alonso Miguel

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9193853/9201909/09202722.pdf?arnumber=9202722

Cited by 82 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. Enhancing network intrusion detection performance using generative adversarial networks;Computers & Security;2024-10

2. AED: A Novel Approach for Intrusion Detection without Abnormal Samples in Big Data Environment;Journal of Data and Information Quality;2024-09-14

3. Safeguarding the Future;Advances in Digital Crime, Forensics, and Cyber Terrorism;2024-09-13

4. Unleashing the Power of Generative Adversarial Networks for Cybersecurity;Advances in Digital Crime, Forensics, and Cyber Terrorism;2024-09-13

5. Vehigan:Generative Adversarial Networks for Adversarially Robust V2X Misbehavior Detection Systems;2024 IEEE 44th International Conference on Distributed Computing Systems (ICDCS);2024-07-23

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