Analysis Of User Behavior Based On Traffic Of The Secondary Vocational School Network

At present,it is blowout growth of the number of mobile phone,smart TV,video boxes and other intelligent network terminal in the campus network.The teaching resources have increased exponentially that based on mobile learning.It makes the complexity and diversity of the campus network traffic.The network literacy awareness training and network behavior,it is one of the important educational themes for the campus network users.According to the theory of network measurement and behavior science,the research on the user traffic behavior in campus network and the network management,which can provides theoretical basis for the reasonable allocation of network bandwidth,network monitoring,abnormal behavior,network service quality improvement and so on.It is studied about the traffic behavior of computer network mainly by means of network traffic data collection,reduction and sampling,data sharing and data sharing,etc.It can be used to predict the behavior of network traffic.There are few researches on the network and user traffic behavior of the secondary vocational school currently.Using zero copy theory,this paper designs the data collection system of the campus network.The fractal Brown motion model is used to analyze the traffic flow.The work of this paper mainly as follows:1)According to the theory of high speed data acquisition and transmission system,a high speed data acquisition system is established that based on Libpcap and zero copy.The system can improve the speed of data acquisition and high efficiency.2)The data pre-processing was implemented by means of analysis of flow reduction,Libpcap,sampling and the hidden techniques.It is analyzed that the traffic data storage format and flow measurement methods.Refer to database technology,it is stored that each IP flow and its characteristic data.This works is the foundation of flow forecasting and analysis.3)The fractal Brown motion is established by method of analysis of network traffic characteristics,compared with all kinds of network traffic model,according to the model of self-similar model.It is forecasted about network traffic according to the seasonal time series model.It is proved that the thought is correct and effective which is proposed in the paper about the analysis of network user traffic behavior.