Abstract:

For the problem that the number of hidden layer neurons of the BP neural network can only be determined by empirical formula, the authors used the Akaike information criterion in statistics to calculate the optimal network structure. Simulation results show that the accuracy of network intrusion detection is significantly improved by the BP neural network after structural optimization, with an average classification accuracy rate of more than 90%. The overall performance of this algorithm is good.

Key words: network intrusion, Akaike information criterion, BP algorithm, data mining