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Censorship in the Wild: Analyzing Internet Filtering in Syria

Chaabane, A; Chen, T; Cunche, M; De Cristofaro, E; Friedman, A; Kaafar, MA; (2014) Censorship in the Wild: Analyzing Internet Filtering in Syria. In: IMC '14: Proceedings of the 2014 Conference on Internet Measurement Conference: November 2014. (pp. pp. 285-298). ACM: Vancouver BC Canada. Green open access

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Abstract

Internet censorship is enforced by numerous governments worldwide, however, due to the lack of publicly available information, as well as the inherent risks of performing active measurements, it is often hard for the research community to investigate censorship practices in the wild. Thus, the leak of 600GB worth of logs from 7 Blue Coat SG-9000 proxies, deployed in Syria to filter Internet traffic at a country scale, represents a unique opportunity to provide a detailed snapshot of a real-world censorship ecosystem. This paper presents the methodology and the results of a measurement analysis of the leaked Blue Coat logs, revealing a relatively stealthy, yet quite targeted, censorship. We find that traffic is filtered in several ways: using IP addresses and domain names to block subnets or websites, and keywords or categories to target specific content. We show that keyword-based censorship produces some collateral damage as many requests are blocked even if they do not relate to sensitive content. We also discover that Instant Messaging is heavily censored, while filtering of social media is limited to specific pages. Finally, we show that Syrian users try to evade censorship by using web/socks proxies, Tor, VPNs, and BitTorrent. To the best of our knowledge, our work provides the first analytical look into Internet filtering in Syria.

Type: Proceedings paper
Title: Censorship in the Wild: Analyzing Internet Filtering in Syria
Event: ACM Internet Measurement Conference (IMC)
Location: Vancouver, CANADA
Dates: 05 November 2014 - 07 November 2014
Open access status: An open access version is available from UCL Discovery
DOI: 10.1145/2663716.2663720
Publisher version: https://doi.org/10.1145/2663716.2663720
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10090197
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