Intrusion Detection Based of Multiple SVM Classifiers' Combination
Shaohua Lan · Journal of Zhongyuan University of Technology · 2007
As the network spreads to each corner of the world,computers are exposed to miscellaneous intrusion from the world wide web.We need effective intrusion detection system to protect our computers from these unanthorized or malicious actions.As pattern recognition method used in intrusion detection system,the limitation in traditional detection methods is cancelled.In this paper a new intrusion detection approach based of multiple support vector classifiers' combination is proposed.Experiment has been done on dataset in KDD-99 and the result shows that it is an effective method.