Intrusion detection system based on Boosting and support vector machine
Chang Zhong Hao · 2010
For improving attack detection rate and lowering false positive rate of many current intrusion detection methods,Boosting algorithm is combined with support vector machine,this paper makes use of support vector machine to train and get classifier by small training samples,then uses the Boosting algorithm to further improve the generalization ability of support vector machine.In Matlab 2009,the use of KDD99 intrusion detection data were simulated.The simulation proved that this technology can improve the classification precision and accuracy,and improve the success rate of intrusion detection.