Mehran University Research Journal Of Engineering &
Technology (HEC Recognized In Category "X")
Publishing Since 1982.

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Intrusion Detection using Deep Belief Network

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

Mehran University Research Journal of Engineering & Technology

Volume 33 ,  Issue 4



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