Hacker Intrusion Detection System Based on Artificial Neural Network

Abstract:

In this paper, some scholars’ idea of applying neural network technology in the design of hacker intrusion detection system model and making a hacker intrusion detection system model based on artificial neural network is adopted. This study selects KDDCup’99 for network intrusion detection data set to learn the characteristics of the intrusion accurately; completes the normalization of all characteristics to achieve rapid convergence of the artificial neural network; analyses the advantages and disadvantages of different neural network training functions; achieves a high accuracy rate for intrusion detection successfully.

• Periodical: Applied Mechanics and Materials (Volumes 263-266)
• Pages: 2924-2928
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.263-266.2924
• Online since: December 2012
• Authors: Jing Huang, Hai Bin Chen, Jiang Zhang, Han Bo Zhang
• Keywords: Artificial Neural Network (ANN), Component, Intrusion Detection, Network Intrusion Detection Data Set, Normalizes, Processing Ability

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