Intrusion-Detection

代码说明：

  The problem of intrusion detection has been studied and received a lot of attention in machine learning and data mining in the literature survey. The existing techniques are not effective to improve the classification accuracy and to reduce high false alarm rate. Therefore, it is necessary to propose new technique for IDS. In this work, we propose a new K-means clustering method with a different Preprocessing and Genetic Algorithm for identifying intrusion and classification for both anomaly and misuse. The experiments of the proposed IDS are performed with KDD cup’99 data set. The experiments will clearly results the proposed method provides better classification accuracy over existing method.

文件列表：

read me.txt,43,2012-07-13
Synopsis_Intrusion Detection _Autosaved_Priya_Udaypur.pdf,467545,2012-07-10