NEURAL NETWORK-POWERED INTRUSION DETECTION SYSTEM

Abstract

This paper provides a comprehensive exploration of an approach addressing the dynamic challenges posed by modern cyber threats through the integration of neural networks into intrusion detection systems. The given approach emphasizes the necessity for adaptive defences in the face of ever-evolving threats, which camouflage as normal network traffic. The methodology, meticulously detailed in the paper, defines the importance of constructing such a system that adeptly identifies underlying patterns in the network data.