Filter List Generation for Underserved Regions
Filter List Generation for Underserved Regions
复制标题
服务欠缺地区的过滤器列表生成
DOI：
--
复制
发表时间：
2019
期刊：
影响因子：
--
通讯作者：
B. Livshits
中科院分区：
文献类型：
--
作者：
Alexander Sjösten;Peter Snyder;Antonio Pastor;P. Papadopoulos;B. Livshits
过滤器列表在保护和帮助Web用户方面发挥着越来越大的作用。绝大多数流行的过滤器列表都是众包的，其中大量的人手动标记与不受欢迎的网络资源（例如广告，跟踪器，付费墙库）相关的资源，以便它们可以被浏览器和扩展阻止。因为只有一小部分网络用户参与过滤列表的生成，所以众包策略对于阻止出现在“流行”网站上的不常见资源或出现在大量“不流行”网站上的资源很有效。众包战略在网络上“人群”较少的部分将表现不佳，例如网络上提供语言的区域，使用者（相对）较少。这项工作通过两种新技术的组合来解决这个问题：（i）深度浏览器工具，允许准确生成请求链，在混淆现有测量技术的情况下具有鲁棒性，以及（ii）广告分类器，独特地结合了感知和页面上下文特征，以在多种语言中保持准确。我们将我们独特的两步过滤器列表生成管道应用于目前过滤器列表维护不善的三个地区：斯里兰卡，匈牙利和阿尔巴尼亚。我们生成新的过滤器列表来补充现有的过滤器列表。我们的补充列表在应用于针对这三个地区的6，475个页面时，会阻止额外的3，349个广告和广告相关资源（1，771个独立资源）。我们希望这项工作能够成为确保网络资源阻止的安全性，隐私和性能优势可以与所有用户共享的努力的一部分，而不仅仅是那些占主导地位的语言或经济区域。
Filter lists play a large and growing role in protecting and assisting web users. The vast majority of popular filter lists are crowd-sourced, where a large number of people manually label resources related to undesirable web resources (e.g. ads, trackers, paywall libraries), so that they can be blocked by browsers and extensions. Because only a small percentage of web users participate in the generation of filter lists, a crowd-sourcing strategy works well for blocking either uncommon resources that appear on “popular” websites, or resources that appear on a large number of “unpopular” websites. A crowd-sourcing strategy will perform poorly for parts of the web with small “crowds”, such as regions of the web serving languages with (relatively) few speakers. This work addresses this problem through the combination of two novel techniques: (i) deep browser instrumentation that allows for the accurate generation of request chains, in a way that is robust in situations that confuse existing measurement techniques, and (ii) an ad classifier that uniquely combines perceptual and page-context features to remain accurate across multiple languages. We apply our unique two-step filter list generation pipeline to three regions of the web that currently have poorly maintained filter lists: Sri Lanka, Hungary, and Albania. We generate new filter lists that complement existing filter lists. Our complementary lists block an additional 3,349 of ad and ad-related resources (1,771 unique) when applied to 6,475 pages targeting these three regions. We hope that this work can be part of an increased effort at ensuring that the security, privacy, and performance benefits of web resource blocking can be shared with all users, and not only those in dominant linguistic or economic regions.
DOI：
10.1145/3308558.3313558
发表时间：
2019-05
期刊：
The World Wide Web Conference
影响因子：
--
作者：
Shitong Zhu;Umar Iqbal;Zhongjie Wang;Zhiyun Qian;Zubair Shafiq;Weiteng Chen
通讯作者：
Shitong Zhu;Umar Iqbal;Zhongjie Wang;Zhiyun Qian;Zubair Shafiq;Weiteng Chen