The Research of Intrusion Detection Based on Support Vector Machine
Li Bo, Chen Yuan Yuan · 2009
Intrusion detection is developed quickly because which has important position in network security. The method of SVM based on statistics learning theory is used in the intrusion detection system, which classifies detecting data efficiently, and achieves the aim that SVM can accurately predict the abnormal state of system. By the use of this method, the limitation of traditional machine learning method is avoided and ensures the stronger extension ability which makes intrusion detection system to have the better detecting performance.