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

Proceedings of the 18th ACM Workshop on Privacy in the Electronic Society(2019)

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摘要
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.
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关键词
ancile policy, ancile policy language, data privacy, data processing pipeline, data source, data structure, derivative policy, derived values, location privacy, location services, location trace, passively generated data, policy enforcement, policy language, privacy, privacy challenge, privacy policy, reference monitors, ubiquitous computing, ubiquitous computing application, use based privacy
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