A Network Intrusion Detection Model Based on Data Ming and Feature Selection Schemes

This paper proposes a kind of intrusion detection model based on C4.5 data mining algorithm and SVM(correlation-based feature selection) based feature selection mechanism,which can effectively detect several types of attacks using the process of feature selection and attack feature training.The experiments on classic KDD 1999 intrusion dataset demonstrate our model is accurate and effective.