Network Behavior Perception Based on Improved BP ANN
With unceasing appearance of each kind of new network applications and the new wooden horse virus, the massive P2P video frequency transmission services and immediate communication services, the traditional network management technology and method cant satisfy the need of network development and change. It is urgent needing the effective network behavior sensation technology to analyze and forecast the development and change of network applications, and then provide the important reference. This paper combines machine learning method based on artificial intelligence and network survey and network management technology. It uses the method of BP artificial neural networks (BP ANN) to recognize each kind of flow in network, to sense each kind of behavior in network, then carries on scientific and effective management and tendency forecast to the network behavior. The corresponding improved model and algorithm has been given in the paper. Finally, the validity of the model and the method has been confirmed through experiments.
network behavior perception BP ANN network traffic recognition network measurement
Xu Yabin Shi Yunmei Liu Xuhong
School of Computer Beijing Information Science and Technology University Beijing, China
国际会议
成都
英文
131-135
2010-12-17（万方平台首次上网日期，不代表论文的发表时间）