An intrusion detection model based on RBF neuron network of improved genetic algorithm
Zhen Ye · Journal of Hefei University of Technology · 2010
Aiming at the high rate of false alarm in anomalous intrusion detection,this paper puts forward an intrusion detection model based on RBF neuron network of improved genetic algorithm(GA).In this model,clustering rule set is established through data mining methods and RBF neuron network is optimized through improved GA.The suspicious behavior unmatched with anyone of the rules is detected through trained RBF neuron network,and the specific types of intrusion can be identified.Experiments show that the model using of RBF neuron network of improved GA,compared to BP neuron network,achieves better accuracy of identification.