Intrusion detection using ensemble wrapper filter based feature selection with stacking model

HIGHLIGHTS

  • who: D. Karthikeyan from the Department of ECE, Kongunadu, College of Engineering and Technology, Trichy, India have published the Article: Intrusion Detection Using Ensemble Wrapper Filter Based Feature Selection with Stacking Model, in the Journal: (JOURNAL)
  • what: The paper has been organized with 5 sections.
  • how: A multitude of MLTs were used in the study.

SUMMARY

    Several MLTs (Machine Learning Techniques) have been used to select features for IDS evaluations including kNNs (k-Nearest-Neighbours), LRs (Logistic Regressions), Artificial_Neural_Network (ANNs), Support Vector Machine (SVMs), DTs and XGBoost methodology employing . . .

     

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