An Efficient Network Intrusion Detection Based on Decision Tree Classifier & Simple K-Mean Clustering using Dimensionality Reduction - A Review

As the internet size grows rapidly so that the attacks on network. There is a need of Intrusion Detection System (IDS) but large and increasing size of network creates huge computational values which can be a problem in estimating data mining results this problem can be overcome using dimensionality reduction as a part of data preprocessing. In this paper, the authors study two decision tree classifiers (J48 and ID3) for the purpose of detecting any intrusion and comparing their performances.