Intrusion Detection Methods Based on PCA and Multi-Classifier Fusion

An intrusion detection method using multi-classifier fusion based on Principal Component Analysis (PCA) feature analysis is presented. Firstly, PCA is applied to network intrusion feature extraction. then, initial intrusion detection result is done by three KNN classifiers. Next, the last step is form final result by fusing these results using the D-S evidence theory. Experiment has been done on dataset in KDD-99 and the results show that the intrusion detection performances can be improved by fusion three classifiers.