COMPARITIVE STUDY OF DATA MINING TECHNIQUES FOR INTRUSION DETECTION SYSTEM

Due to growing information technology day by day,security has remained one challenging area of computer and network.Intrusion detection is the process of analyzing and monitoring the events occurring in network traffic in order to detect suspicious activity.In present study,we provide detailed information about data mining techniques like classification,clustering,association rule, Feature selection, prediction and comparative study of all of the major techniques.This work will also focuson comparative study of all the techniques which comes under classification and clustering in terms of computation,speed and detection rate. It will also present the best algorithm of Intrusion Detection of each type.