Autors: Ahmad,I., Ansari,M.A., Mohsin,S.
Title: Performance Comparison between Backpropagation Algorithms Applied to Intrusion Detection in Computer Network Systems
Keywords: Intrusion Detection, Backpropagation, Neural Networks, Intru

Abstract: In this paper a topology of neural network intrusion detection system is proposed on which different backpropagation algorithms are benchmarked. The proposed methodology uses sampled data from KddCup99 data set, an intrusion detection attacks database that is a standard for the evaluation of intrusion detection systems. The performance of backpropagation algorithms implemented in batch mode, is addressed. A comparative analysis of algorithms is made and then the most optimum solution is selected with respect to mean square error.

References

    Issue

    9th WSEAS International Conference on NEURAL NETWORKS (NN’08), pp. 231-236, 2008, Bulgaria,

    Вид: публикация в национален форум