DYNAMIC KNN METHOD FOR PREPROCESSING IN THE INTRUSION DETECTION SYSTEM

Abstract

This research article focused an efficient intrusion detection system using data mining techniques. Particularly the proposed system is about how to improvise data preprocessing results ie filling missing values using D-kNN algorithm with optimal k value and data reduction method as minimal maximal normalization in intrusion detection system implemented using KDDCUP 99 benchmark dataset.

Keywords: Data Preprocessing, Data Cleaning, Filling Missing Values, Data Reduction, Data Transformation, IDS, kNN, D-kNN, Min Max Algorithm.