A compression approach to intrusion detection of sample data according to PCA and FCM
Guo Jiang-wei · Journal of Naval University of Engineering · 2012
Using the processing principle of dual-directional data compression,this paper presents a compression approach to the intrusion detection of sample data according to PCA and FCM to enhance the effectiveness and accuracy of intrusion detection.Firstly,PCA is used to remove the redundant features.Then,FCM is adopted to eliminate the redundant instances to discover the key features and instances from the intrusion detection sample data.Finally,an illustrative experiment on KDD CUP99 data test set is made to show that the method of dual data compression can reduce the number of training classifiers and the computation of intrusion detection and further improve the efficiency of real time detection and the accuracy of intrusion detection.