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FlowGANAnomaly: Flow-Based Anomaly Network Intrusion Detection with Adversarial Learning

  • Published:2024-01 Issue:1 Volume:33 Page:58-71
  • ISSN:2075-5597
  • Container-title:Chinese Journal of Electronics
  • language:
  • Short-container-title:Chinese J. Elect.

Author:

Li Zeyi1,Wang Pan2,Wang Zixuan3

Affiliation:

1. School of Computer Science, Nanjing University of Posts and Telecommunications,Nanjing,China,210003

2. School of Modern Posts, Nanjing University of Posts and Telecommunications,Nanjing,China,210003

3. School of Internet of Things, Nanjing University of Posts and Telecommunications,Nanjing,China,210003

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Cited by 3 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 Generic Framework for Finding Special Quadratic Elements in Data Streams;IEEE/ACM Transactions on Networking;2024-08

2. Resource-Constraint Deep Forest-Based Intrusion Detection Method in Internet of Things for Consumer Electronic;IEEE Transactions on Consumer Electronics;2024-05

3. A novel network flow feature scaling method based on cloud-edge collaboration;2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom);2023-11-01
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