ResearchBib Share Your Research, Maximize Your Social Impacts
Sign for Notice Everyday Sign up >> Login

Intrusion Detection using Deep Belief Network

Journal: Mehran University Research Journal of Engineering and Technology (Vol.33, No. 4)

Publication Date:

Authors : ; ;

Page : 485-491

Keywords : Network Security; Deep Belief Network; Feed Forward Neural Network; Intrusion Detection;

Source : Downloadexternal Find it from : Google Scholarexternal


This paper proposes an intrusion detection technique based on DBN (Deep Belief Network) to classify four intrusion classes and one normal class using KDD-99 dataset. The proposed technique is based on two phases: in first phase it removes the class imbalance problem and in the next, it applies DBN followed by FFNN (Feed-Forward Neural Network) to build a prediction model. The obtained results are compared with those given in [9]. The prediction accuracy of our model shows promising results on both intrusion and normal patterns

Last modified: 2016-01-20 23:08:55