Research And Implementation Of Campus User's Network Behavior Identification System Based On IPv6

User network behavior recognition is an important direction of computer network research.The main purpose of user network behavior recognition is to identify the data packets generated by the network users when they use the Internet applications.The core of network behavior recognition is to inspect the traffic of data packets.Deep exploration and analysis of network behavior is of great significance to network expansion optimization,network user analysis,network security protection,building China into a strong Cyber power.On the one hand,with the development of computer network technology,new network applications are emerging,accompanied by the emergence of many new application protocols;on the other hand,IPv6 technology is replacing the traditional IPv4 technology,and the rapid development of next-generation Internet technology to users' networks The identification of behavior brings new challenges.Compared with other common network users,campus network users have more diverse network behaviors and longer online time,and currently the main domestic IPv6 network is concentrated in China Education and Research Computer Network CERNET2.Therefore,this paper studies and implements an IPv6-based campus user network behavior recognition system.The main contents are summarized as follows:(1)Elaborates the background and far-reaching significance of network packet identification,and introduces the characteristics of DPI identification and the characteristics of IPv6 network,the classification of packet identification techniques and the matching algorithm applied by deep packet identification techniques are described.(2)Design and implement a campus user network behavior recognition system based on IPv6.The main modules of the system include: traffic acquisition and preprocessing module,application identification module,feature rule base module,analysis module and web presentation module.(3)Realize the network behavior recognition of campus users through deep data identification technology,mainly through LibPcap to obtain the data packets through the monitoring interface,and then use the combination of DPI identification and port identification to process the data packets and analyze the user's network behavior.Finally,the recognition result is visualized through the web interface.