Deep learning model transposition for network intrusion detection systems

HIGHLIGHTS

• who: Jou00e3o Figueiredo et al. from the CISUC-Center for Informatics and Systems of the University of Coimbra, Coimbra have published the Article: Deep Learning Model Transposition for Network Intrusion Detection Systems, in the Journal: Electronics 2023, 12, 293. of /2023/
• what: The authors propose an anomaly-based NIDS using a deep learning stacked-LSTM model with a novel pre-processing technique that gives it context-free features and outperforms most related works obtaining over 99% accuracy over the CICIDS2017 dataset. In the following years, most works focused on advancing anomaly-based detection capabilities, but . . .
  

   

  

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