Anonymity of Tor
Aleksandr Lazarenko, Sergey Mikchailovitch Avdoshin · 2016
Privacy enhancing technologies (PETs) are ubiquitous nowadays. They are beneficial for a wide range of users. However, PETs are not always used for legal activity. The present paper is focused on Tor users deanonimization1 using out-of-the box technologies and a basic machine learning algorithm. The aim of the work is to show that it is possible to deanonimize a small fraction of users without having a lot of resources and state-of-the-art machine learning techniques. The deanonimization is a very important task from the point of view of national security. To address this issue, we are using a website fingerprinting attack.