- From: Gunes Acar <gunes.acar@esat.kuleuven.be>
- Date: Thu, 29 Aug 2013 00:50:10 +0200
- To: public-privacy@w3.org
- Message-ID: <521E7EA2.5060901@esat.kuleuven.be>
Thanks Dom, for bringing our paper in.
Checking the fingerprinting guidance on GitHub, another relevant study
might be "Cookieless Monster" by Nick Nikiforakis et al.:
N. Nikiforakis, et al. Cookieless monster: Exploring the ecosystem
of web-based device fingerprinting. In/Proceedings of the IEEE
Symposium //on Security and Privacy/, 2013
Best regards,
GunesAcar
N.B.: We've just published the final version of ourpaper today. Anyone
interested can find the updated one at the same
address:http://www.cosic.esat.kuleuven.be/publications/article-2334.pdf
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PhD Student
Katholieke Universiteit Leuven
Dept. Electrical Engineering-ESAT / COSIC
Kasteelpark Arenberg 10, B-3001 Leuven, Belgium
Office: 01.17
tel: +32 16 32 11 29 fax: +32 16 32 19 69
email: gunes.acar (at) esat.kuleuven.be
web page: http://www.esat.kuleuven.be/cosic/?page_id=126
On 08/28/2013 09:24 AM, Dominique Hazael-Massieux wrote:
> I haven’t seen this paper mentioned here; since it’s highly relevant to
> the discussions around fingerprinting, I thought I would reference it:
> “In this paper, we report on the design, implementation
> and deployment of FPDetective, a framework for the de-
> tection and analysis of web-based fingerprinters. […]
> we were able to conduct a large scale analysis of the million
> most popular websites of the Internet, and discovered that the
> adoption
> of fingerprinting is much higher than previous studies had
> estimated.”
>
> http://www.cosic.esat.kuleuven.be/publications/article-2334.pdf
>
> Dom
>
>
>
Received on Thursday, 29 August 2013 06:40:11 UTC