Augur: Internet-Wide Detection of Connectivity Disruptions

Paul Pearce, Roya Ensafi, Frank Li, Nick Feamster, Vern Paxson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Scopus citations

Abstract

Anecdotes, news reports, and policy briefings collectively suggest that Internet censorship practices are pervasive. The scale and diversity of Internet censorship practices makes it difficult to precisely monitor where, when, and how censorship occurs, as well as what is censored. The potential risks in performing the measurements make this problem even more challenging. As a result, many accounts of censorship begin - and end - with anecdotes or short-term studies from only a handful of vantage points. We seek to instead continuously monitor information about Internet reachability, to capture the onset or termination of censorship across regions and ISPs. To achieve this goal, we introduce Augur, a method and accompanying system that utilizes TCP/IP side channels to measure reachability between two Internet locations without directly controlling a measurement vantage point at either location. Using these side channels, coupled with techniques to ensure safety by not implicating individual users, we develop scalable, statistically robust methods to infer network-layer filtering, and implement a corresponding system capable of performing continuous monitoring of global censorship. We validate our measurements of Internet-wide disruption in nearly 180 countries over 17 days against sites known to be frequently blocked, we also identify the countries where connectivity disruption is most prevalent.

Original languageEnglish (US)
Title of host publication2017 IEEE Symposium on Security and Privacy, SP 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages427-443
Number of pages17
ISBN (Electronic)9781509055326
DOIs
StatePublished - Jun 23 2017
Event2017 IEEE Symposium on Security and Privacy, SP 2017 - San Jose, United States
Duration: May 22 2017May 24 2017

Publication series

NameProceedings - IEEE Symposium on Security and Privacy
Volume0
ISSN (Print)1081-6011

Other

Other2017 IEEE Symposium on Security and Privacy, SP 2017
CountryUnited States
CitySan Jose
Period5/22/175/24/17

All Science Journal Classification (ASJC) codes

  • Safety, Risk, Reliability and Quality
  • Software
  • Computer Networks and Communications

Keywords

  • Censorship
  • Measurement
  • Network and systems security
  • Security and privacy policies

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