OPTIMIZING PARAMETERS OF FUZZY ART FOR IMPROVING THE ACCURACY OF NIDS

Intrusion Detection System (IDS) has been developed in order to provide a defense mechanism against the intrusive activities carried over network. This paper discusses an approach of Intrusion detection system using Fuzzy ART technique for clustering with some pre-processing method. From the survey it was found that IDS built using Fuzzy ART has low detection rate and high false alarm rate. Parameters of Fuzzy ART technique such as choice parameter and vigilance parameter have major impact on final outcome. So to overcome the problem of low detection rate and higher false alarm rate we need to optimize these parameters of Fuzzy ART. For optimizing of these parameters external fuzzy controller is used. Experimental results shows the different values of parameters give different detection rates and false alarm rate. And by optimizing the parameters we got reduction in false alarm rate by 2.07%. KEYWO