Application of Neural Network in Network Intrusion Detection

Zhong Yang; Hua Du

doi:10.4028/www.scientific.net/AMM.644-650.3334

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 644-650Application of Neural Network in Network Intrusion...

Application of Neural Network in Network Intrusion Detection

Abstract:

In this paper, we combined the clustering algorithm and neural network algorithm, proposes a new FORBF neural network algorithm based on FCM and OLS, and apply it to the research of intrusion detection system. The simulation results show that, the algorithm has satisfactory performance.

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Periodical:

Applied Mechanics and Materials (Volumes 644-650)

Pages:

3334-3337

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.644-650.3334

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Online since:

September 2014

Authors:

Zhong Yang*, Hua Du

Keywords:

Fuzzy C Means Clustering, Intrusion Detection, Orthogonal Least Squares, Radial Basis Function

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* - Corresponding Author

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