Evaluating Neural Network Intrusion Detection Approaches Using Analytic Hierarchy Process

At present age, security in computer and network
systems is a pressing concern because a solo attack may cause
an immense destruction in computer and network systems.
Various intrusion detection approaches be present to resolve
this serious issue but the dilemma is which one is more
appropriate in the field of intrusion. Therefore, in this paper,
we evaluated and compared different neural network (NN)
approaches to intrusion detection. This work describes the
concepts, tool and methodology being used for assay of
different NN intrusion detection approaches using Analytic
Hierarchy Process (AHP). Further, conclusion on results is
made and direction for future works is presented. The outcome
of this work may help and guide the security implementers in
two possible ways, either by using the results directly obtained
in this paper or by extracting the results using similar
mechanism but on different intrusion detection systems or
approaches.