Title
Cookieless Monster: Exploring the Ecosystem of Web-Based Device Fingerprinting
Abstract
The web has become an essential part of our society and is currently the main medium of information delivery. Billions of users browse the web on a daily basis, and there are single websites that have reached over one billion user accounts. In this environment, the ability to track users and their online habits can be very lucrative for advertising companies, yet very intrusive for the privacy of users. In this paper, we examine how web-based device fingerprinting currently works on the Internet. By analyzing the code of three popular browser-fingerprinting code providers, we reveal the techniques that allow websites to track users without the need of client-side identifiers. Among these techniques, we show how current commercial fingerprinting approaches use questionable practices, such as the circumvention of HTTP proxies to discover a user's real IP address and the installation of intrusive browser plugins. At the same time, we show how fragile the browser ecosystem is against fingerprinting through the use of novel browser-identifying techniques. With so many different vendors involved in browser development, we demonstrate how one can use diversions in the browsers' implementation to distinguish successfully not only the browser-family, but also specific major and minor versions. Browser extensions that help users spoof the user-agent of their browsers are also evaluated. We show that current commercial approaches can bypass the extensions, and, in addition, take advantage of their shortcomings by using them as additional fingerprinting features.
Year
DOI
Venue
2013
10.1109/SP.2013.43
IEEE Symposium on Security and Privacy
Keywords
Field
DocType
web-based device fingerprinting,single web,popular browser-fingerprinting code provider,intrusive browser plugins,browser development,additional fingerprinting feature,cookieless monster,help user,browser ecosystem,current commercial approach,billion user account,current commercial fingerprinting approach,feature extraction,user agent,data privacy,internet,servers,fingerprinting,fingerprint recognition
World Wide Web,Internet privacy,Ip address,Identifier,Computer science,Computer security,Information delivery,Plug-in,Web application,Information privacy,The Internet
Conference
ISSN
Citations 
PageRank 
1081-6011
112
4.53
References 
Authors
9
6
Search Limit
100112
Name
Order
Citations
PageRank
Nick Nikiforakis186553.35
Alexandros Kapravelos232420.58
Wouter Joosen32898287.70
Christopher Kruegel48799516.05
Frank Piessens52455162.28
Giovanni Vigna67121507.72