Intrusion Detection using Recurrent Neural Networks

Abstract

Internet is a widely used platform nowadays by people across the word. This has led to the advancement in science and technology. Many surveys conclude that network intrusion has registered a consistent increase and lead to personal privacy theft and has become a major platform for attack in the recent years. Network intrusion is unauthorized activity on a computer network. Hence there is a need to develop an effective intrusion detection system. In proposed system acquaint an intrusion detection system that uses improved recurrent neural network(RNN) to detect the type of intrusion. In proposed system also shows a comparison between an intrusion detection system that uses other machine learning algorithm while using smaller subset of kdd-99 dataset with thousand instances and the KDD-99 dataset.