An efficient network intrusion detection system based on fuzzy C-means and support vector machine

Need of effective and efficient Intrusion Detection System, used the concept of hybrid approach in Iintrusion Detection System where many combination of different techniques has been used so far. In this paper, proposed hybrid approach which is the combination of Fuzzy C-Mean (FCM), a clustering technique and Support Vector Machines (SVM) will be compared with K-Means and SVM, K-Means and Naïve bayes, FCM and Naïve bayes and other existing approach related with this area. All the experiments are performed on KDD Cup 99 dataset.