Implementation of Network Intrusion Detection System Based on Density-based Outliers Mining

1 Introduction There are m any kinds of network intrusion detec- tion techniques,but which can be divided into two cata- logs generally: one is rule-based, and the other is anom aly-based. The form er is one which detects intru- sion behaviors according t…

Implementation of Network Intrusion Detection System Based on Density-based Outliers Mining

The paper puts forward a new method of density-based 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.