An Enhanced Anomaly- Based Model for Network Intrusion Detection Using Neural Network
Anomaly-based IDSs need to be able to learn the dynamically changing behavior of users or systems. In this thesis, we are experimenting with packet behavior as parameters in anomaly intrusion detection. This research work has improved on existing Network Intrusion System and was motivated by the inability of some in...