The Construction and Experimental Technologies of Anonymous Network Analysis and Control Platform

In view of the shortcomings of low accuracy and high false positive rate in the traditional anonymous network traffic analysis methods, this paper proposes the construction and experimental technologies of the anonymous network analysis and control platform, and adopts the Tor network forced routing mechanism to realize the reverse analysis of the random path selection and proxy data restoration of the anonymous network. Experimental results show that compared with the traditional anonymous network traffic analysis methods, the anonymous network analysis and control platform significantly improves performance, achieving a true positive rate of over 95% for detecting different types of traffic in anonymous networks and a false positive rate of less than 3%. This approach not only reduces the overhead of training the model but also enhances the generalization ability of anonymous network analysis and control.