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Online Tracking: A 1-million-site Measurement and Analysis

Author(s): Englehardt, Steven; Narayanan, Arvind

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dc.contributor.authorEnglehardt, Steven-
dc.contributor.authorNarayanan, Arvind-
dc.identifier.citationEnglehardt, Steven, and Arvind Narayanan. "Online Tracking: A 1-million-site Measurement and Analysis." In CCS '16: Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security (2016): pp. 1388-1401. doi:10.1145/2976749.2978313en_US
dc.description.abstractWe present the largest and most detailed measurement of online tracking conducted to date, based on a crawl of the top 1 million websites. We make 15 types of measurements on each site, including stateful (cookie-based) and stateless (fingerprinting-based) tracking, the effect of browser privacy tools, and the exchange of tracking data between different sites ("cookie syncing"). Our findings include multiple sophisticated fingerprinting techniques never before measured in the wild. This measurement is made possible by our open-source web privacy measurement tool, OpenWPM, which uses an automated version of a full-fledged consumer browser. It supports parallelism for speed and scale, automatic recovery from failures of the underlying browser, and comprehensive browser instrumentation. We demonstrate our platform's strength in enabling researchers to rapidly detect, quantify, and characterize emerging online tracking behaviors.en_US
dc.format.extent1388 - 1401en_US
dc.relation.ispartofCCS '16: Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Securityen_US
dc.rightsAuthor's manuscripten_US
dc.titleOnline Tracking: A 1-million-site Measurement and Analysisen_US
dc.typeConference Articleen_US

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