An Intrusion Detection Algorithm Based on Clustering Support Vector Machine
Zhou Hui-can · Radio Engineering of China · 2009
On the basis of the long training time of support vector machines applied in intrusion detection,the paper proposes an intrusion detection algorithm based on clustering support vector machine.This method can realize training data pruning and train support vector machine by using the cluster center set close to the distinguishing boundary as the effective training sample set,which may reduce the sample training time and improve the algorithm efficiency.The experimental result indicates that this method is effective for intrusion detection.