Application of deep learning-based intrusion detection system (ids) in network anomaly traffic detection

HIGHLIGHTS

  • What: This study discusses the application of deep learning technology in network intrusion detection systems (IDS) and focuses on new model named CNN-Focal.
  • Who: Fanyi Zhao et al. from the Computer Science, Stevens Institute of Technology, NJ, USA Computer Engineering, New York University, New York, USA have published the Article: Application of deep learning-based Intrusion Detection System (IDS) in network anomaly traffic detection, in the : Proceedings of the 6th International Conference on Computing and Data Science
  • How: The design principle of the CNN-Focal model is described in detail which uses . . .

     

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