Intrusion Detection System Using Feature Selection and classifier based Algorithm

Abstract

With the enlargement of web, there has been a terrific increases in the number of attacks and therefore Intrusion Detection Systems (IDS�s) has become a main topic of information security. The purpose of IDS is to help the computer systems to deal with attacks. The feature selection used in IDS helps to reduce the classification time. In this paper, the IDS for detecting the attacks efficiently has been proposed. We have proposed an algorithm based on associan rule to detect intrusion. We have combined algorithm with feature selection to improve efficiency of IDS.The proposed feature selection and associan rule algorithms enhance the performance of the IDS in detecting the attacks.