An Advanced Ensemble Enhanced Feature Selection Approach for Intrusion Detection System

Abstract

In recent years Intrusion Detection Systems (IDS's) play a key part in data security. The goal of IDS is to assist computer systems in dealing with attacks. the IDS for identifying the attacks effectively has been suggested and actualized. For this reason, another component determination method called Optimal Feature Selection approach. The idea of an Information Gain Ratio has been put up in light of this strategy. The primary purpose of algorithm determines appropriate amount of features from KDD Cup dataset. SVM and Rule Based Classification have both been used to characterise the data, making it possible to categorise it even more effectively. In comparison to previously published findings, our OFSA model shows promise in detection.