Abstract

As a dimension and importance of the network has increases day by day. Then chances of a network attacks as also increases. So to enhance network security different steps has been taken. Network is mainly attacked by some intrusions which can be identified by network intrusion detection system. Many types of network intrusion detection system which utilizes the identity and signature of the intrusion. These intrusions are mainly contained in data packets and each packet has to scan for its detection. This paper works to develop a intrusion detection system in the similar fashion of identifying signature or patterns of different types of intrusions. As anomaly detection system has to face different problem of false alarm generation which means identifying as a intrusion but actually it is not an intrusion. Result obtained after analyzing this system is quite good enough that nearly 85% of true alarms are generated.