Hybrid Intrusion Detection Based on Data Mining

In this paper, a hybrid intrusion detection model based on data mining, which is commonly used in network security anomaly detection, is proposed that combines anomaly detection with misuse detection technology. Two test stages were formed and applied to the instrusion detection system in the process of large-scale network traffic detection. On the basis of improving the detection ability of the massive information detection system, the security of the data source of the intrusion detection system was ensured.