Soft Computing‐Based Intrusion Detection System With Reduced False Positive Rate

Intrusion Detection System is one of the important security mechanisms in today's information era. Two different approaches are used for intrusion detection: signature based and anomaly based. Signature based Intrusion Detection System is able to identify known attacks only whose signatures are available. While anomaly based Intrusion Detection System suffers from problem of high false alarms. Intrusion detection analyst need to address all alerts generated by Intrusion Detection System. If most of these alerts are false, then it is difficult for Intrusion detection analyst to identify real attack and act on it. In our research work we have designed solution to reduce false alerts generated by anomaly based Intrusion Detection System.