Design of Intrusion Detection System Based on Neural Network
Pinghui Zou · Microelectronics & Computer · 2009
In order to overcome the traditional error back-propagation algorithm with slow convergence and easy to fall into local minimum problem. This paper first introduces an improved error back-propagation algorithm,and give a neural network-based intrusion detection system model,expounded the idea of the model design. Finally,through the training process and testing process,an objective analysis was carried out on the results of experiments,which showed that: undetected intrusion detection rate and false alarm rate is higher,when the improved error back-propagation algorithm applied to neural network. It is also effective to types of attacks. It shows improved error back-propagation algorithm in neural network intrusion detection has ample space of the development and application prospects.