Intrusion detection model based on BP neural network and feature selection

This paper proposes a kind of intrusion detection model based on Back Propagation(BP) neural network and feature selection mechanism.It can effectively detect several types of attacks after the process of feature selection and attack feature training.The experiments on classic KDD 1999 dataset demonstrate the model is accurate and effective.