Master's Thesis

Deanonymization of Tor Onion Services with Acceleration-Based Watermarking

Afonso Manuel Vieira Machado Barros de Carvalho — 2022

Key information

Authors:

Afonso Manuel Vieira Machado Barros de Carvalho (Afonso Manuel Vieira Machado Barros de Carvalho)

Supervisors:

Diogo Miguel Barrinha Barradas (Diogo Miguel Barrinha Barradas); Nuno Miguel Carvalho dos Santos (Nuno Miguel Carvalho dos Santos)

Published in

November 25, 2022

Abstract

The Tor anonymity network and its Onion Service (OS) infrastructure allow users to browse and provide services on the Internet while benefiting from sender and receiver anonymity. This enables them to circumvent censorship filters and remain safe from prosecution but also provides a means to conduct illegal activities. This has made Tor an enticing target for attackers, including Law Enforcement Agencies (LEAs) seeking to identify unlawful OSes. These LEAs may form coalitions, gaining broad access to network traffic information collected at the level of Autonomous Systems or Internet Exchange Points. This information is known to allow deanonymization attacks on Tor's infrastructure to take place. In fact, recent attacks have shown that it is possible for a global passive adversary to fully deanonymize Tor Onion Sessions with high accuracy. The proposed techniques, however, depend on the monitoring of a large amount of Tor flow samples introducing serious bottlenecks to the scalability of these attacks and to the maximum achievable recall (i.e., the number of sessions that can effectively be screened by the adversary). In this work, we propose an alternative attack, DissecTor, that utilizes a new acceleration-based watermarking scheme and machine learning techniques to deanonymize a targeted OS both effective and covertly. By identifying the target OS one significantly reduces the complexity and resources needed to fully deanonymize the whole browsing session. We performed an in depth evaluation of the DissecTor system, exploring several variants and reflecting on the best use cases for each.

Publication details

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Fields of Science and Technology (FOS)

electrical-engineering-electronic-engineering-information-engineering - Electrical engineering, electronic engineering, information engineering

Publication language (ISO code)

eng - English

Rights type:

Embargo lifted

Date available:

September 13, 2023

Institution name

Instituto Superior Técnico