A novel ensemble learning-based model for network intrusion detection

HIGHLIGHTS

  • who: Ngamba Thockchom from the Department of Computer Science and Engineering, North Eastern Regional Institute of Science and Technology, Arunachal Pradesh, India have published the Article: A novel ensemble learning-based model for network intrusion detection, in the Journal: (JOURNAL)
  • what: The model proposed in this paper has relatively better overall performance than its individual classifiers. For classifying R2L attacks, only the model proposed by Khan et_al was able to achieve 91% accuracy, whereas the proposed model delivered only 60% accuracy. In this paper, an ensemble learning-based model is presented with the aim of . . .

     

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