Research of intrusion detection system based on neural networks

Through in-depth study on the existing technologies about intrusion detection system, to accelerate the detection speed and improve the accuracy, this paper presents a new intrusion detection model based on neural networks. This model uses neural networks to detect, transforms the pattern recognition into numerical calculation, thereby speeding up the detection rate, while combining with expert system detection and real-time neural network training set to improve the detection accuracy.