Data Mining Approaches for Network Intrusion Detection System
Data mining has been gaining popularity in knowledge discovery field, particularity with the increasing availability of digital documents in various languages from all around the world. Network intrusion detection is the process of monitoring the events occurring in a computing system or network and analyzing them for signs of intrusions. In this paper, intrusion detection & several areas of intrusion detection in which data mining technology applied are discussed. Data mining techniques are used to discover consistent and useful patterns of system features that describe program and user behavior. Data mining can improve variant detection rate, control false alarm rate and reduce false dismissals.