Implementation of Support Vector Machines and Clustering of Intrusion Detection System for Computer Networks
Narges Salehpour · International Journal of u- and e- Service Science and Technology · 2015
Considering that intrusion detection systems and anomaly clearly recognize malicious activity. Nowadays, data mining based intrusion detection systems, security and more rapidly detect attacks.Therefore,in this article we use a combination of k-means clustering algorithm and is used supervised support vector machine algorithm to find the best line separator. This is leading to the separation of normal and attack traffic.