Analysis of Paradoxes in Fingerprint Countermeasures

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http://hdl.handle.net/10138/232259

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Andalibi , V , Christophe , F & Mikkonen , T 2017 , Analysis of Paradoxes in Fingerprint Countermeasures . in Proceedings of the 21st Conference of Open Innovations Association FRUCT, University of Helsinki, Helsinki, Finland . FRUCT Oy , pp. 398-401 , Conference of Open Innovations Association , Helsinki , Finland , 06/11/2017 .

Julkaisun nimi: Analysis of Paradoxes in Fingerprint Countermeasures
Tekijä: Andalibi, Vafa; Christophe, Francois; Mikkonen, Tommi
Muu tekijä: University of Helsinki, Department of Computer Science
University of Helsinki, Department of Computer Science
Kuuluu julkaisusarjaan: Proceedings of the 21st Conference of Open Innovations Association FRUCT, University of Helsinki, Helsinki, Finland
ISBN: 978-952-68653-2-4
Tiivistelmä: The widespread usage of new user tracking methods, i.e. web-based fingerprinting, is becoming a serious privacy concern as third parties try to track users across different websites. Meanwhile, it is usually difficult or impossible for users to opt-out fingerprinting if they want to fully benefit the services provided by the application or website. Several studies tried to address the privacy issue in browser fingerprinting, mostly by faking attribute values. However, such configuration spoofing may lead to inconsistencies that paradoxically make the user stand out even more. This study analyzes these paradoxes in browser configuration with the creation of a Markov model based on a test dataset. Given a target spoofed attribute, the implemented tool in this study outputs the other attributes that must be consequently altered, not to cause paradoxical configuration. Similarly, this tool can suggest a set of random attributes to be spoofed with suggested values, not creating a paradoxical configuration. The tool Implemented in this study can be used by browser extension developers and should help them spoof browser attributes more sophistically, thus preservingusers' privacy against cross-site web-based browser fingerprinting.
URI: http://hdl.handle.net/10138/232259
Päiväys: 2017-11-10
Avainsanat: 113 Computer and information sciences
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