The Application of Data Mining in Network Anomaly Detection

With the popularity of the network,network security has become a very important issue.There exists a large amount of data in the Internet.Data mining is a mathematical method to automatically discover new knowledge from the data.Anomaly detection is one method of Intrusion Detection(IDS).It describes the normal behavior' s characteristics of network and user and realizes intrusion detection through comparing with normal network behavior.In this work we use K-Mean method to describe network data and apply it to anomaly detection.