Application of Improved BP Neural Network with Correlation Rules in Network Intrusion Detection
Yongfeng Cui, Xiangqian Li, Zhijie Liu · International Journal of Security and Its Applications · 2016
To detect various network attacks in real time, this paper developed a network intrusion detection system based on artificial neural network.This paper first introduced the recent development of neural network, BP algorithm and structure of a simple perceptron.Then, this paper developed an improved BP neural network algorithm to detect anomaly network traffic with adjusted correlation rules.Finally, the network intrusion system in this paper was tested in a real network situation; the improved BP algorithm neural network with adjusted correlation rules shows a reduction in total error and increment in alarm rate compared to the traditional basic BP algorithm model.