Carnegie Mellon University
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Caché: Caching Location-Enhanced Content to Improve User Privacy (CMU-CyLab-10-019)

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journal contribution
posted on 2010-12-10, 00:00 authored by Shahriyar Amini, Janne Lindqvist, Jason Hong, Jialiu Lin, Eran Toch, Norman Sadeh
We present the design, implementation, and evaluation of Caché, a system that offers location privacy for certain classes of location-based applications. The core idea in Caché is to periodically pre-fetch potentially useful location-enhanced content well in advance. Applications then retrieve content from a local cache on the mobile device when it is needed. This approach allows the end-user to make use of locationenhanced content while only revealing to third-party content providers what geographic region she is in rather than her precise location. In this paper, we present an analysis that examines tradeoffs in terms of storage, bandwidth, and freshness of data. We then discuss the design and implementation of an Android service embodying these ideas. Finally, we provide two evaluations of Caché. One measures the performance of our approach with respect to privacy and mobile content availability using real-world mobility traces. The other focuses on our experiences using Caché to enhance user privacy in three open source Android applications.




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