MyTrackingChoices：通过强制执行用户隐私偏好平息广告拦截战争
MyTrackingChoices: Pacifying the Ad-Block War by Enforcing User Privacy Preferences
摘要：
网络上的免费内容和服务通常由广告支持。然而，随着侵入性和侵犯隐私的广告的激增，很大一部分用户已经开始使用广告拦截器。由于现有的广告拦截器是激进的（他们阻止所有的广告），并没有考虑到他们的经济影响，基于广告的网络经济模式今天处于危险之中。在本文中，我们针对隐私敏感的用户，并为他们提供细粒度的控制跟踪。我们的工作假设是，某些类别的网页（例如，与健康，宗教等）对用户的隐私比其他人（教育，科学等）更敏感。因此，我们提出的方法包括为用户提供一个选项，以指定对他们隐私敏感的网页类别，并阻止仅存在于此类网页上的跟踪器。由于通过阻止第三方域名的网络连接来阻止跟踪，因此我们不仅可以避免跟踪，还可以避免第三方广告。由于用户将继续在属于非敏感类别的网页上接收广告，我们的方法基本上提供了隐私和经济之间的权衡。为了测试我们的解决方案的可行性，我们将其实现为Google Chrome扩展程序，名为MyTrackingChoices（可在Chrome Web Store上获得）。我们对MyTrackingChoices的真实实验表明，隐私敏感用户所施加的广告拦截的经济影响可以显着降低。
英文摘要：
Free content and services on the Web are often supported by ads. However, with the proliferation of intrusive and privacy-invasive ads, a significant proportion of users have started to use ad blockers. As existing ad blockers are radical (they block all ads) and are not designed taking into account their economic impact, ad-based economic model of the Web is in danger today. In this paper, we target privacy-sensitive users and provide them with fine-grained control over tracking. Our working assumption is that some categories of web pages (for example, related to health, religion, etc.) are more privacy-sensitive to users than others (education, science, etc.). Therefore, our proposed approach consists in providing users with an option to specify the categories of web pages that are privacy-sensitive to them and block trackers present on such web pages only. As tracking is prevented by blocking network connections of third-party domains, we avoid not only tracking but also third-party ads. Since users will continue receiving ads on web pages belonging to non-sensitive categories, our approach essentially provides a trade-off between privacy and economy. To test the viability of our solution, we implemented it as a Google Chrome extension, named MyTrackingChoices (available on Chrome Web Store). Our real-world experiments with MyTrackingChoices show that the economic impact of ad blocking exerted by privacy-sensitive users can be significantly reduced.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
