Co-location and air pollution exposure: case studies on the usefulness of location privacy

Co-location and air pollution exposure: case studies on the usefulness of location privacy
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DOI:
10.1145/3557992.3565991
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发表时间:
2022-11
期刊:
Proceedings of the 6th ACM SIGSPATIAL International Workshop on Location-based Recommendations, Geosocial Networks and Geoadvertising
影响因子:
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通讯作者:
Liyue Fan;Julius Marinak;Ashley Bang
Liyue Fan;Julius Marinak;Ashley Bang
中科院分区:
其他
文献类型:
--
作者:
Liyue Fan;Julius Marinak;Ashley Bang

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位置隐私的研究由来已久,目的是为了保护用户的位置数据不受不可信服务器的攻击。虽然已有的研究使用通用效用度量来分析位置隐私方法,但缺乏面向应用的视角给采用位置隐私带来了挑战。本研究将应用效用放在前面和中心,通过两个具体案例研究位置隐私的影响,填补了这一空白。我们使用两个大城市的真实数据集进行了实证评估,并对得到的结果进行了深入的分析。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。我们的结果指出了所研究的隐私方法的有趣行为,可以帮助应用程序进行位置隐私决策。
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.