Network Anomalies Detection Using Statistical Technique : A Chi- Square approach

摘要: Intrusion Detection System is used to detect suspicious activities one form of defense. However, the sheer size network logs makes human log analysis intractable. Furthermore, traditional intrusion detection methods based on pattern matching techniques cannot cope with need for faster speed manually update those patterns. Anomaly as a part system, which in turn use certain data mining techniques. Data can be applied possible intrusions. The foremost step application selection appropriate features from data. This paper aims build an that known and unknown automatically. Under framework, IDS are trained statistical algorithm, named Chi-Square statistics. study shows plan, implementation analyze these threats by using statistic technique, order prevent attacks make Network system (NIDS). proposed model anomaly-based see how effective this technique detecting