Analysis of Heuristic based Feature Reduction method in Intrusion Detection System
Swapnil Umbarkar, Sanyam Shukla · 2018
Increasing attacks in the internet domain has led to the need of intrusion detection system (IDS) and many researchers have trying to improve the performance of IDS. Network-based IDS tries to detect intrusion using network-based features. KDD 1999 dataset has been widely used as benchmark intrusion detection dataset. It has 41 features. This work tries to extract a subset of 41 features without degrading the performance of IDS. For dimensionality reduction, this work uses Information gain(IG), Gain ratio(GR) and Correlation-based feature selection algorithms. This work also proposes a heuristic based dimensionality reduction approach to further improve the performance of the aforementioned feature selection algorithms.