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