- 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 -------------------------------------------------------------------------- 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