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Towards Web-based Biometric Systems Using Personal Browsing Interests

Lukasz Olejnik 1, * Claude Castelluccia 1
* Corresponding author
1 PRIVATICS - Privacy Models, Architectures and Tools for the Information Society
Inria Grenoble - Rhône-Alpes, CITI - CITI Centre of Innovation in Telecommunications and Integration of services
Abstract : We investigate the potential to use browsing habits and browser history as a new authentication and identification system for the Web with potential applications to anomaly and fraud detection. For the first time, we provide an empirical analysis using data from $4,578$ users. We employ the traditional biometric analysis and show that the False Acceptance Rate can be low ($FAR=1.1\%$), though this results in a relatively high False Rejection Rate ($FRR=13.8\%$). The scheme may either be utilized by Web service providers (with access to user's browser history) or any Webmaster, using other specialized techniques such as timing-based browser cache sniffing or a browser extension. We construct such a proof-of-concept extension.
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Submitted on : Wednesday, December 11, 2013 - 11:13:06 AM
Last modification on : Friday, December 10, 2021 - 1:16:03 PM
Long-term archiving on: : Friday, March 14, 2014 - 10:36:05 AM


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Lukasz Olejnik, Claude Castelluccia. Towards Web-based Biometric Systems Using Personal Browsing Interests. The 8th International Conference on Availability, Reliability and Security (ARES 2014), Sep 2013, Regensburg, Germany. pp.274-280, ⟨10.1109/ARES.2013.36⟩. ⟨hal-00917046⟩



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