TY - GEN
T1 - Online tracking
T2 - 23rd ACM Conference on Computer and Communications Security, CCS 2016
AU - Englehardt, Steven
AU - Narayanan, Arvind
N1 - Publisher Copyright:
© 2016 Copyright held by the owner/author(s).
PY - 2016/10/24
Y1 - 2016/10/24
N2 - We 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, OpenWPM1, which uses an automated version of a full-edged 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.
AB - We 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, OpenWPM1, which uses an automated version of a full-edged 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.
UR - http://www.scopus.com/inward/record.url?scp=84995395759&partnerID=8YFLogxK
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U2 - 10.1145/2976749.2978313
DO - 10.1145/2976749.2978313
M3 - Conference contribution
AN - SCOPUS:84995395759
T3 - Proceedings of the ACM Conference on Computer and Communications Security
SP - 1388
EP - 1401
BT - CCS 2016 - Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security
PB - Association for Computing Machinery
Y2 - 24 October 2016 through 28 October 2016
ER -