Design And Implementation Of Campus Network P2P Traffic Monitoring System Based On Dual Protocol Stack

Since the rise of Peer-to-Peer(P2P)technology in this century,it has been widely applied in various businesses,including resource sharing,network streaming,instant messaging,and other fields.According to the traffic statistics of most university gateways,P2P application traffic accounts for 60%to 80%of the campus network’s outbound traffic.However,the widespread use of P2P technology not only brings convenience to users,but also brings difficulties to network management.Although campus networks are increasingly expanding bandwidth,they cannot fundamentally solve various problems caused by P2P application traffic,and cannot guarantee the quality of non P2P services in teaching,scientific research,and administrative management.On the other hand,the current campus network is in the transition phase from IPv4 to IPv6,and most of the existing P2P traffic collection,identification,monitoring,and other technologies are based on a single IPv4 network,lacking a monitoring system for IPv4/IPv6 dual-stack mode.Therefore,designing and implementing a P2P traffic monitoring system in an IPv4/IPv6 dual stack environment meets the urgent needs of current campus network management.This thesis discusses the current status of P2P technology applications and their impact on campus networks.It summarizes the technical characteristics of IPv4/IPv6 dual-protocol stack technology for campus networks,analyzes IP packets in-depth,studies key technologies such as data classification of IPv4/IPv6 in dual-stack protocols,P2P traffic identification,and designs and implements a P2P traffic monitoring system based on this research.The main work of this thesis is summarized as follows:(1)A method is proposed to identify P2P traffic in the dual-protocol stack network environment using deep packet inspection technology as the main method,combined with deep flow detection technology and port recognition technology.Four popular P2P applications are tested,and the results show that the method can effectively identify P2P traffic in both IPv4 and IPv6 network links with high identification accuracy.(2)The data flow of the core layer of the campus network of Yunnan Normal University is taken as the research object.The port mirroring is done on the core switch of the campus network.Based on Libpcap technology and Mysql database,the original campus network traffic data is collected and analyzed and the traffic information is stored.Classification of two IP packets.(3)The main modules of the system are designed and implemented in detail.The system is divided into traffic collection modules,pre-processing modules,feature library modules,port recognition modules,deep packet recognition modules,deep flow recognition modules,and statistical function modules.The functions and relevant technologies of each module are explained in detail and analyzed specifically.Finally,the system is tested,and it can display the usage of P2P traffic in the campus network from multiple angles.Through system design,implementation,testing,and trial operation,the system can effectively monitors P2P traffic in the campus network,providing timely decision-making basis for campus network management.