Implementation of Network Intrusion Detection System Based on Density-based Outliers Mining
Huang, Guangqiu, Peng ......................................................, Xuyou, Lv, Dingquan · 微计算机信息 · 2005
The paper puts forward a new method of densitybased anomaly data mining, the method is used to design the engine of network intrusion detection system (NIDS), thus a new NIDS is constructed based on the engine. The NIDS can find new unknown intrusion behaviors, which are used to updated the intrusion rule-base, based on which intrusion detections can be carried out online by the BM pattern match algorithm. Finally all modules of the NIDS are described by formalized language.