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

Narayanan, Arvind

Title:

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

dc.contributor.author	Narayanan, Arvind
dc.contributor.corporatename	Georgia Institute of Technology. Institute for Information Security & Privacy	en_US
dc.contributor.corporatename	Princeton University. Computer Science Department	en_US
dc.date.accessioned	2017-01-30T14:38:05Z
dc.date.available	2017-01-30T14:38:05Z
dc.date.issued	2017-01-20
dc.description	Presented on January 20, 2017 at 12:00 p.m. in the Engineered Biosystems Building, Room 1005.	en_US
dc.description	Arvind 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.description	Runtime: 59:27 minutes	en_US
dc.description.abstract	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, 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.extent	59:27 minutes
dc.identifier.uri	http://hdl.handle.net/1853/56426
dc.language.iso	en_US	en_US
dc.publisher	Georgia Institute of Technology	en_US
dc.relation.ispartofseries	Cybersecurity Lecture Series
dc.subject	Measurement	en_US
dc.subject	Online tracking	en_US
dc.subject	Privacy	en_US
dc.title	Online Tracking: A 1-million-site Measurement and Analysis	en_US
dc.type	Moving Image
dc.type.genre	Lecture
dspace.entity.type	Publication
local.contributor.corporatename	School of Cybersecurity and Privacy
local.contributor.corporatename	College of Computing
local.relation.ispartofseries	Institute for Information Security & Privacy Cybersecurity Lecture Series
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