Addressing the class imbalance problem in network intrusion detection systems using data resampling and deep learning

HIGHLIGHTS

• who: Ahmed Abdelkhalek from the Networks Department, German University in Cairo, Elu2011Tagamoa Elu2011Khames, Cairo, Egypt have published the paper: Addressing the class imbalance problem in network intrusion detection systems using data resampling and deep learning, in the Journal: (JOURNAL)
• what: In this paper a data resampling technique is proposed based on Adaptive Synthetic (ADASYN) and Tomek Links algorithms in combination with different deep learning models to mitigate the class imbalance problem. The authors will review the most recent approaches in both techniques, focusing on the techniques applied on the benchmark NSL-KDD dataset presented in . . .
  

   

  

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