Research on Data Reduction in Intrusion Detection
Shirui Zhu · Jisuanji gongcheng · 2011
In order to solve the problems of data reduction in intrusion detection,this paper presents an algorithm of attack features selection based on mutual information including feature selection and value reduction.It uses mutual information method to eliminate the redundant features,and inductive value reduction algorithm to eliminate redundant attribute values.Experimental results demonstrate that it not only can reduce the cost of memory and time,but also can improve the accuracy of classification.