Research On Tracing Technology Of The Dark Web

The dark web is built on a public network and requires special software,configuration or authentication to access it.Compared with the traditional Internet network,the dark web has the characteristics of strong anonymity,difficult traceability and high dynamics.The initial purpose of the dark web was to protect the communication privacy of Internet users.However,the current dark web contains a large amount of information that violates the law.Criminals are engaged in illegal activities on the dark web.The dark web has seriously threatened the security of cyberspace.The dark web poses a major threat to cyberspace security,because it is difficult to trace the source.If the dark web can be traced,it will be a good deterrent to illegal activities in the dark web,effectively reduce the illegal and criminal behavior in the dark web,regulate the online behavior of dark web users,and maintain the security of cyberspace.This article will further research the dark web traceability technology on the existing basis,focusing on dark web clients and dark webs.Trace the source in two dimensions.In the research of dark web server-side tracing technology,the dark web data is collected and analyzed to realize the tracking.To achieve dark web tracking,it is necessary to collect dark web URL addresses.Faced with the problem that dark web URLs are not public and difficult to collect,this article uses Tor2web and dark web crawler methods to collect dark web addresses,and collect the content of the websites.For the problem of the dark web with a lot of information and redundancy,the crawled data is analyzed,first,the key information is extracted,the extracted keywords will be used for the identification of dark web sites and the study of dark web user behavior portraits,secondly,the dark web Sensitive information from the website is extracted.This sensitive information is information that may expose dark web users.This information can be traced back to the real identity of anonymous users.During the research process,actual cases analysis shows sensitive information to achieve dark web traceability.In the research of dark web client tracing technology,dark web traffic identification and analysis is used to realize the tracking.Access to the dark web uses special software and configuration,and the dark web traffic is encrypted with multiple layers,making the traditional flow identification method no longer suitable for dark web traffic identification,to address this problem.This paper analyzes the process of user tracking and tracing through dark web traffic.The process of tracking mainly includes traffic collection,feature extraction,model training and user tracing.The Tor network is currently the largest number of people.This article focuses on the Tor network.For the analysis of dark web traffic characteristics,a dark web traffic identification algorithm is designed to identify dark web traffic in the encrypted traffic data set,and the identified dark web traffic is further analyzed,and a dark web traffic behavior recognition algorithm is designed for dark web customers tracking,through the analysis of dark web traffic,to achieve the tracing of dark web clients.