Proposing model for detecting intrusion network attacks using machine learning techniques

HIGHLIGHTS

• who: Marwan Al-Dabbagh from the Softwares Department, College of Computer Sciences and Mathematics, University of Mosul, Mosul, Iraq have published the paper: Proposing Model for Detecting Intrusion Network Attacks Using Machine Learning Techniques, in the Journal: (JOURNAL)
• what: The aim of this paper is to build a Network Intrusion Detection System (NIDS) based on deep learning techniques such as Convolutional Neural Network (CNN) which demonstrated its efficiency in predicting classifying and extracting high-level features in network traffic. The aim of the paper is to design a software tool or system that detects intrusions . . .
  

   

  

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