Design And Implementation Of I2P Darknet Detection And Perception System

The rapid development of modern Internet makes information disseminated in an increasingly convenient way.However,variety of illegal and criminal activities occur quietly with the help of the Internet.For example,Tor,I2 P and other darknet that can provide anonymous identity for network users are favored by criminals.Correspondingly,it greatly increases the difficulty of detecting criminal activities and poses a great threat to people's life and property safety as well as social stability.Based on the theory of I2 P and other darknet,this thesis designs and implements the I2 P darknet detection and perception system.By using docker container technology,I2 P nodes are deployed to the physical space in order to collect the information in user space and logical space via I2 P network.The information in I2 P user space mainly includes I2 P network domain name and I2 P darknet content.The information in I2 P logical space mainly includes basics of I2 P injection nodes,I2 P darknet nodes,communication links,etc.Through the collection,storage and analysis of above-mentioned information,this thesis visualizes the information in I2 P network by means of graph model,so as to help relevant departments monitor and analyze I2 P network.The main contributions of this thesis are as follows:(1)The access of I2 P network needs to be realized by deploying I2 P injection nodes.For the deployment of I2 P injection nodes in physical space,this thesis uses Docker containers to deploy I2 P nodes,which can reduce time cost in batch node deployment scenarios.(2)I2P user space mainly includes I2 P domain name information and I2 P darknet content information.By focusing on information collection in I2 P user space,this thesis builds a content detection system using distributed dark network with master-slave nodes involved,and this system is on the basis of Scrapy-Redis framework.It can collect I2 P darknet domain name and dark network content information in I2 P user space,and provide visual analysis.(3)I2P logical space mainly includes basic information of I2 P injection nodes,dark network nodes and communication links.Aiming at the information collection in I2 P logical space,this thesis builds a detection system using distributed darknet nodes,and this system is based on Spring Cloud framework.It can regularly collect the information of I2 P logical space and perform visual analysis.(4)Regarding the management and display of I2 P darknet data,a visual background management system is built in this thesis.The system can monitor the status of injection nodes,manage dark network data and display visual information.