Ad-Blocking and Counter Blocking: A Slice of the Arms Race
May 17, 2016 Β· Declared Dead Β· π IEEE Symposium on Foundations of Computational Intelligence
"No code URL or promise found in abstract"
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Authors
Rishab Nithyanand, Sheharbano Khattak, Mobin Javed, Narseo Vallina-Rodriguez, Marjan Falahrastegar, Julia E. Powles, Emiliano De Cristofaro, Hamed Haddadi, Steven J. Murdoch
arXiv ID
1605.05077
Category
cs.CR: Cryptography & Security
Cross-listed
cs.CY,
cs.NI
Citations
85
Venue
IEEE Symposium on Foundations of Computational Intelligence
Last Checked
4 months ago
Abstract
Adblocking tools like Adblock Plus continue to rise in popularity, potentially threatening the dynamics of advertising revenue streams. In response, a number of publishers have ramped up efforts to develop and deploy mechanisms for detecting and/or counter-blocking adblockers (which we refer to as anti-adblockers), effectively escalating the online advertising arms race. In this paper, we develop a scalable approach for identifying third-party services shared across multiple web-sites and use it to provide a first characterization of anti-adblocking across the Alexa Top-5K websites. We map websites that perform anti-adblocking as well as the entities that provide anti-adblocking scripts. We study the modus operandi of these scripts and their impact on popular adblockers. We find that at least 6.7% of websites in the Alexa Top-5K use anti-adblocking scripts, acquired from 12 distinct entities -- some of which have a direct interest in nourishing the online advertising industry.
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