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dc.contributor.authorNarayanan, Arvind
dc.date.accessioned2017-01-30T14:38:05Z
dc.date.available2017-01-30T14:38:05Z
dc.date.issued2017-01-20
dc.identifier.urihttp://hdl.handle.net/1853/56426
dc.descriptionPresented on January 20, 2017 at 12:00 p.m. in the Engineered Biosystems Building, Room 1005.en_US
dc.descriptionArvind Narayanan is an assistant professor of Computer Science at Princeton University, an affiliated faculty member at the Center for Information Technology Policy at Princeton and an affiliate scholar at Stanford Law School's Center for Internet and Society. He also leads a research team investigating the security, anonymity, and stability of cryptocurrencies as well as novel applications of blockchains.en_US
dc.descriptionRuntime: 59:27 minutesen_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.extent59:27 minutes
dc.language.isoen_USen_US
dc.publisherGeorgia Institute of Technologyen_US
dc.relation.ispartofseriesCybersecurity Lecture Seriesen_US
dc.subjectMeasurementen_US
dc.subjectOnline trackingen_US
dc.subjectPrivacyen_US
dc.titleOnline Tracking: A 1-million-site Measurement and Analysisen_US
dc.typeLectureen_US
dc.typeVideoen_US
dc.contributor.corporatenameGeorgia Institute of Technology. Institute for Information Security & Privacyen_US
dc.contributor.corporatenamePrinceton University. Computer Science Departmenten_US


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