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File size:
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Author:
Winter, Philipp (Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science) (PriSec)
Title:
Enhancing Censorship Resistance in the Tor Anonymity Network
Department:
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science
Publication type:
Licentiate thesis, comprehensive summary (Other academic)
Language:
English
Place of publ.: Karlstad Publisher: Karlstads universitet
Series:
Karlstad University Studies, ISSN 1403-8099; 2014:5
Year of publ.:
2014
URI:
urn:nbn:se:kau:diva-30752
Permanent link:
http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-30752
ISBN:
978-91-7063-534-2
Subject category:
Computer Systems
Research subject:
Computer Science
Keywords(en) :
tor, censorship, anonymity, network
Abstract(en) :

Baksidestext

The Tor network was originally designed as low-latency anonymity network.However, as the years progressed, Tor earned a reputation as also being a useful tool to circumvent Internet censorship. At times, the network counted 30,000 users only from China. Censors reacted by tightening their grip on the national communication infrastructure. In particular, they developed techniques to prevent people from being able to access the Tor network. This arms race now counts several iterations and no end is in sight.

This thesis contributes to a censorship-resistant Tor network in two ways. First, it analyses how existing censorship systems work. In particular, the Great Firewall of China is analysed in order to obtain an understanding of its capabilities as well as to explore circumvention opportunities. Second, this thesis proposes practical countermeasures to circumvent Internet censorship. In particular, it presents a novel network protocol which is resistant to the Great Firewall's active probing attacks.

Presentation:
2014-02-27, 10:00 (English)
Degree:
Licentiate degree
Supervisor:
Lindskog, Stefan
Fischer-Hübner, Simone
Opponent:
Murdoch, Steven, PhD (University of Cambridge, England)
Available from:
2014-01-22
Created:
2013-12-18
Last updated:
2014-01-22
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