Anonymity of Tor: Myth and Reality
| Title | Anonymity of Tor: Myth and Reality |
| Publication Type | Conference Paper |
| Year of Publication | 2016 |
| Authors | Lazarenko, Aleksandr, Avdoshin, Sergey |
| Conference Name | Proceedings of the 12th Central and Eastern European Software Engineering Conference in Russia |
| Publisher | ACM |
| Conference Location | New York, NY, USA |
| ISBN Number | 978-1-4503-4884-3 |
| Keywords | anonymity, anonymous network, composability, deanonimization, deep web, Human Behavior, Metrics, pubcrawl, Resiliency, Tor, Traffic analysis, website fingerprinting |
| Abstract | 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. |
| URL | http://doi.acm.org/10.1145/3022211.3022221 |
| DOI | 10.1145/3022211.3022221 |
| Citation Key | lazarenko_anonymity_2016 |