同一地点与空气污染暴露:地点隐私有用性的个案研究

Liyue Fan, Julius Marinak, Ashley Bang
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引用次数: 1

摘要

为了保护用户的位置数据不受不可信服务器的攻击,人们对位置隐私进行了长期的研究。现有的研究以通用的效用度量来分析位置隐私方法,但缺乏面向应用的视角,这给位置隐私的采用带来了挑战。本研究将应用程序的实用性置于中心位置,通过两个具体案例研究位置隐私的影响,填补了这一空白。我们对两个大城市的真实数据集进行了实证评估,并对所得结果进行了深入分析。此外,我们还研究了通用实用程序和应用程序实用程序之间的关系,以及在特定应用程序设置中隐私和实用程序之间的权衡。我们的研究结果指出了所研究的隐私方法的有趣行为,可以为应用程序的位置隐私决策提供帮助。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Co-location and air pollution exposure: case studies on the usefulness of location privacy
Location privacy has long been studied, in order to protect users' location data from untrusted servers. While existing research analyzed location privacy methods with generic utility measures, the lack of application-oriented perspectives imposes challenges for adopting location privacy. This study fills the gap by putting application utility front and center, studying the impacts of location privacy in two concrete case studies. We conduct empirical evaluations with real-world datasets from two large cities, and provide in-depth analysis on the obtained results. Furthermore, we examine the relationship between generic utility and application utility as well as the trade-off between privacy and utility in specific application settings. Our results point out interesting behaviors of the studied privacy methods and can help applications with location privacy decision-making.
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