AdaWFPA: Adaptive Online Website Fingerprinting Attack for Tor Anonymous Network: A Stream-wise Paradigm.

Nowadays, network traffic analysis is quite pervasive in human practice. Website fingerprinting attack, which is a new variant of traffic analysis attacks, identifies the websites visited by clients in encrypted and anonymized Tor connections by observing patterns in packet flows. Previous website fingerprinting attacks focus on static models in which the classifier is trained within a time period and then it is utilized to identify targeted websites. Static attacks cannot handle the time effect on the accuracy since their classifiers are not trained on the newest versions of the websites. Consequently, their accuracy drops drastically when tested on captured traffic traces of websites, days after training. This time effect is known as concept drift.