Intrusion detection model based on weighted multi-random decision tree
基于加权多随机决策树的入侵检测模型

The traditional decision tree category methods(such as:ID3,C4.5) are effective on small data sets.However,when these methods are applied to massive data of IDS,its effectivity will get influenced.In this paper,a random model based decision tree algorithm was applied,and an intrusion detection model based on it was provided.It is verified by experiment that this model is evidently powerful for IDS.