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
KAMRAN RAZA , SYED HASAN ADIL , ,
References
| 1. |
Kemmerer, R.A., and Vigna, G., "Intrusion Detection: A Brief History and Overview", Computer, Volume 35, No. 4, pp. 27-30, 2002 |
| 2. |
Srinivasulu, P., Nagaraju, D., Kumar, P.R., and Rao, K.N., "Classifying the Network Intrusion Attacks using Data Mining Classification Methods and their Performance Comparison", International Journal of Computer Scince and Network Security, Volume 9, No. 6, June, 2009 |
| 3. |
Davide, A., Roberto, T., and Giorgio, G., “HMMPayl: An Intrusion Detection System based on Hidden Markov Models”, Computers & Security, Volume 30, pp. 221-241, 2012 |
| 4. |
Nagaraju, D., Srinivasulu, P., Kumari, V.V., and Govardhan, A., “Intrusion Detection System uing Bayesian Network and Hidden Markov Model”, C3IT, Procedia Technology, Volume 4, pp. 506-514, 2012 |
| 5. |
Nadeem, Q., and Kamran, R., "Effect of Feature Selection, Synthetic Minority Over-Sampling (SMOTE) and Under-Sampling on Class Imbalance Classification", Proceedings of 14thInternational Conference on Modelling and Simulation, pp. 145-150, 2012 |
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