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首页> 外文会议>Proceedings of the 1st Network Traffic Measurement and Analysis Conference >The cookie recipe: Untangling the use of cookies in the wild
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The cookie recipe: Untangling the use of cookies in the wild

机译：Cookie的秘诀：在野外解开Cookie的使用

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摘要

Users online are commonly tracked using HTTP cookies when browsing on the web. To protect their privacy, users tend to use simple tools to block the activity of HTTP cookies. However, the “block all” design of tools breaks critical web services or severely limits the online advertising ecosystem. Therefore, to ease this tension, a more nuanced strategy that discerns better the intended functionality of the HTTP cookies users encounter is required. We present the first large-scale study of the use of HTTP cookies in the wild using network traces containing more than 5.6 billion HTTP requests from real users for a period of two and a half months. We first present a statistical analysis of how cookies are used. We then analyze the structure of cookies and observe that; HTTP cookies are significantly more sophisticated than the name=value defined by the standard and assumed by researchers and developers. Based on our findings we present an algorithm that is able to extract the information included in 86% of the cookies in our dataset with an accuracy of 91.7%. Finally, we discuss the implications of our findings and provide solutions that can be used to improve the most promising privacy preserving tools.
机译：在网络上浏览时，通常使用HTTP cookie来跟踪在线用户。为了保护自己的隐私，用户倾向于使用简单的工具来阻止HTTP cookie的活动。但是，工具的“全部屏蔽”设计会破坏关键的Web服务或严重限制在线广告生态系统。因此，为了缓解这种紧张关系，需要一种更加细微的策略，该策略可以更好地识别用户遇到的HTTP cookie的预期功能。我们通过网络跟踪展示了在野外使用HTTP cookie的首次大规模研究，其中包含来自真实用户的超过56亿个HTTP请求，历时两个半月。我们首先介绍如何使用Cookie的统计分析。然后，我们分析cookie的结构并进行观察； HTTP cookie比标准定义并由研究人员和开发人员假定的name = value复杂得多。根据我们的发现，我们提出了一种算法，该算法能够以91.7％的准确度提取数据集中86％的cookie中包含的信息。最后，我们讨论了研究结果的含义，并提供了可用于改进最有前途的隐私保护工具的解决方案。

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