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IDS using Classification Techniques in Weka Environment with Feature Reduction

Author(s):

Jyoti Deshwal , Shri Krishan Institute of Engineering and Technology; Savita Gupta, SKIET

Keywords:

IDS, Data Mining, Attack, Clustrin, Weka

Abstract

In this paper, Intrusion Detection System (IDS) based on combining data mining is presented and implemented in WEKA. this exposure, in our works, we use a wired data base Knowledge Discovery Data Mining (KDD) CUP 10Percent and a Data Mining Tools Waikato Environment for Knowledge Analysis (WEKA) we check the results by using a several evaluations parameters. The results illustrate that a very high detection rate for certain attacks types. we proposed to calculate the mean value via sampling different ratios of normal data for each measurement, which lead us to reach a better accuracy rate for observation data in real world This presents useful information in intrusion detection.

Other Details

Paper ID: IJSRDV2I6239
Published in: Volume : 2, Issue : 6
Publication Date: 01/09/2014
Page(s): 720-724

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