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.
CITATION STYLE
Bagdasaryan, E., Berlstein, G., Waterman, J., Birrell, E., Foster, N., Schneider, F. B., & Estrin, D. (2019). Ancile: Enhancing privacy for ubiquitous computing with use-based privacy. In Proceedings of the ACM Conference on Computer and Communications Security (pp. 111–124). Association for Computing Machinery. https://doi.org/10.1145/3338498.3358642
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