Skip to main content

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

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

Download
To refer to this page use: http://arks.princeton.edu/ark:/88435/pr19f9g
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.
Publication Date: Oct-2016
Citation: Englehardt, 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:10.1145/2976749.2978313
DOI: doi:10.1145/2976749.2978313
ISSN: 1543-7221
Pages: 1388 - 1401
Type of Material: Conference Article
Journal/Proceeding Title: CCS '16: Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security
Version: Author's manuscript



Items in OAR@Princeton are protected by copyright, with all rights reserved, unless otherwise indicated.