Cluster based Statistical Anomaly Intrusion Detection for Varied Attack Intensities

In today's Internet paradigm, the type of intrusion attacks becomes crucial in presenting effective improvement to anomaly intrusion attacks. Anomaly Traffic hacker attacks combined with traditional network intruders was a serious threat to network security. The existing work on intrusion detection and prevention of traffic attacks take much time, before which the intruder is spread across the network. The sensing mechanism in addition to rejection of an attack against