An Innovative Machine Learning Optimization Algorithm for Feature Selection

Intrusion Deduction System (IDS) is an important technique is used for prevent intruders in any kind of network. This author’s research is proposed to find ML solution for ID&PS (Intrusion Detection and Prevention System) using KDD Cup '99 Dataset.. This paper proposesthe use of IGSO for feature selection which can select relevant feature subsets from the classification dataset and also to achieve maximum classification accuracy. Review for best optimization technique for KDD Cub '99 Dataset for feature selection.