Abstract
The anonymous network in protecting user privacy information, but also for the use of criminals, for its illegal acts, and increase the cover monitoring, tracking and obstacle of the government organs forensics, Aiming at the problem of anonymous network, this paper proposes a website fingerprinting attack method for TOR anonymous network. Wavelet transform is introduced to deal with the traffic generated by visiting the website. SVM algorithm is used to learn and generate classifiers, establish fingerprint feature library, and then compare the data generated by the target visiting website with the feature library to confirm its visiting website. In this way, the experimental results show that the average recognition accuracy of target visited websites is 96.7% under all known features of websites, which is superior to literature [17].
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