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FilteredWeb: A framework for the automated search-based discovery of blocked URLs

Abstract:

Various methods have been proposed for creating and maintaining lists of potentially filtered URLs to allow for measurement of ongoing internet censorship around the world. Whilst testing a known resource for evidence of filtering can be relatively simple, given appropriate vantage points, discovering previously unknown filtered web resources remains an open challenge. We present a new framework for automating the process of discovering filtered resources through the use of adaptive queries t...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.23919/TMA.2017.8002914

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Institution:
University of Oxford
Division:
SSD
Department:
Oxford Internet Institute
Role:
Author
Publisher:
IEEE/IFIP Publisher's website
Journal:
etwork Traffic Measurement and Analysis Conference Journal website
Host title:
2017 Network Traffic Measurement and Analysis Conference (TMA)
Publication date:
2017-08-08
Acceptance date:
2017-04-03
DOI:
Source identifiers:
698908
ISBN:
9783901882951
Keywords:
Pubs id:
pubs:698908
UUID:
uuid:6321b48a-9a84-4452-8e2b-9e0ccb59ff67
Local pid:
pubs:698908
Deposit date:
2017-06-09

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