Intrusion Detection Method Based on Fast Incremental SVM
She Xiang-yang · Jisuanji gongcheng · 2012
Aiming at the low rate of intrusion detection and the slow detection speed of intrusion detection method based on Support Vector Machine(SVM),this paper proposes a new method named Boundary-Incremental Support Vector Machine(B-ISVM).The boundary areas are identified and samples are screened for training to construct the initial classification hyperplane.The support vector is extracted according to screening factor.And the construction of the incremental SVM classifier is completed through incremental learning based on KKT conditions.Experimental results show that the method can achieve higher rate of intrusion detection and faster detection speed,and it has better classification performance.