Ancile: Enhancing Privacy for Ubiquitous Computing with Use-Based Privacy

Ancile: Enhancing Privacy for Ubiquitous Computing with Use-Based Privacy
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DOI：
10.1145/3338498.3358642
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发表时间：
2019-11
期刊：
Proceedings of the 18th ACM Workshop on Privacy in the Electronic Society
影响因子：
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通讯作者：
Eugene Bagdasaryan;Griffin Berlstein;J. Waterman;Eleanor Birrell;Nate Foster;F. Schneider;D. Estrin
Eugene Bagdasaryan;Griffin Berlstein;J. Waterman;Eleanor Birrell;Nate Foster;F. Schneider;D. Estrin
中科院分区：
其他
文献类型：
--
作者：
Eugene Bagdasaryan;Griffin Berlstein;J. Waterman;Eleanor Birrell;Nate Foster;F. Schneider;D. Estrin

文献摘要

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智能基础设施和物联网的广泛部署创造了大量被动生成的数据。这些数据使新的无处不在的计算应用程序-如基于位置的服务-同时构成新的隐私威胁。在这项工作中，我们确定了在将基于使用的隐私应用于被动生成的数据时出现的挑战，并开发了Ancile，这是一个为消费这些数据的应用程序执行基于使用的隐私的平台。我们发现，Ancile构成了一个功能，性能平台部署隐私增强无处不在的计算应用程序。
Widespread deployment of Intelligent Infrastructure and the Internet of Things creates vast troves of passively-generated data. These data enable new ubiquitous computing applications---such as location-based services---while posing new privacy threats. In this work, we identify challenges that arise in applying use-based privacy to passively-generated data, and we develop Ancile, a platform that enforces use-based privacy for applications that consume this data. We find that Ancile constitutes a functional, performant platform for deploying privacy-enhancing ubiquitous computing applications.