Hacker Intrusion Detection System Based on Artificial Neural Network
Jing Huang, Hai Bin Chen, Jiang Zhang, Han Bo Zhang · Applied Mechanics and Materials · 2012
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.