Next-Generation Network Intrusion Detection System (NG-NIDS)

Abstract

This paper introduces the Next-Generation Network Intrusion Detection System (NG-NIDS) with intelligent capabilities based on the Artificial Neural Networks (ANN) and Machine Learning (ML) algorithms. The results have been achieved by training the model on a benign as well as malicious traffic. The proposed NG-NIDS achieved 99.9% accuracy of detecting the malicious traffic, which reflects the fact that this design is accurate and reliable.