| Author | Wang, Weihang; Zheng, Yunhui; Xing, Xinyu; Kwon, Yonghwi; Zhang, Xiangyu; Eugster, Patrick |
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| Date | 2016 |
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| Type | Conference Proceedings |
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| Abstract | Nowadays, a rapidly increasing number of web users are using Ad-blockers to block online advertisements. Ad-blockers
are browser-based software that can block most Ads on the
websites, speeding up web browsers and saving bandwidth.
Despite these benefits to end users, Ad-blockers could be
catastrophic for the economic structure underlying the web,
especially considering the rise of Ad blocking as well as the
number of technologies and services that rely exclusively on
Ads to compensate their cost.
In this paper, we introduce WebRanz that utilizes a randomization mechanism to circumvent Ad-blocking. Using
WebRanz, content publishers can constantly mutate the internal HTML elements and element attributes of their web
pages, without affecting their visual appearances and functionalities. Randomization invalidates the pre-defined patterns that Ad-blockers use to filter out Ads. Though the
design of WebRanz is motivated by evading Ad-blockers,
WebRanz also benefits the defense against bot scripts. We
evaluate the effectiveness of WebRanz and its overhead using
221 randomly sampled top-alexa web pages and 8 representative bot scripts. |
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| Isbn | 978-1-4503-4218-6 |
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| In | FSE 2016 Proceedings of the 2016 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering, p.205-216 |
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| Publisher | ACM |
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| Partn | TUD-CS-2016-14757 |
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| Url | https://tubiblio.ulb.tu-darmstadt.de/id/eprint/98142 |
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