In this paper, we develop a quantitative approach to objectively compare the privacy of adblockers. We propose a model based on a set of privacy metrics that captures not only the technical web architecture, but also the underlying corporate institutions of the problem across time and geography.
We investigate experimentally the effect of various combinations of ad-blocking software and browser settings on 1000 Web sites. Our results highlight a significant difference among adblockers in terms of filtering performance, in particular affected by the applied configurations. Besides the ability to judge the filtering capabilities of existing adblockers and their particular configurations, our work provides a general framework to evaluate new adblocker proposals.Category / Keywords: applications / web privacy, adblocker, quantification Date: received 15 Sep 2016 Contact author: arthur gervais at inf ethz ch Available format(s): PDF | BibTeX Citation Version: 20160915:141741 (All versions of this report) Short URL: ia.cr/2016/900 Discussion forum: Show discussion | Start new discussion