Algorithms Based on Artificial Neural Networks for Intrusion Detection in Heavy Traffic Computer Networks
The current network is complicated owing to the high throughput and the multi-uniformity of actions. An intrusion detection system is a critical component for reliable information management. Network Intrusion Detection Systems, which are part of the layered defense scheme, must be capable of meeting these organizational objectives in order to be effective. This paper presents the research carried out on different neural network structures using a number of algorithms for intrusion detection. Latest algorithms have been presented which have faster convergence and improved performance in Intrusion Detection System (IDS).