1 research outputs found
Intrusion Detection using Sequential Hybrid Model
A large amount of work has been done on the KDD 99 dataset, most of which
includes the use of a hybrid anomaly and misuse detection model done in
parallel with each other. In order to further classify the intrusions, our
approach to network intrusion detection includes use of two different anomaly
detection models followed by misuse detection applied on the combined output
obtained from the previous step. The end goal of this is to verify the
anomalies detected by the anomaly detection algorithm and clarify whether they
are actually intrusions or random outliers from the trained normal (and thus to
try and reduce the number of false positives). We aim to detect a pattern in
this novel intrusion technique itself, and not the handling of such intrusions.
The intrusions were detected to a very high degree of accuracy