IDS Using Classification Teachniques in Weka Environment With Feature Reduction
Jyoti Deshwal, Savita Gupta · IJSRD : international journal for scientific research and development · 2014
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.