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Metis: Mocking Data for Usability & Privacy
Cooley, Brett
Cooley, Brett
Abstract
As smartphone usage continues to grow, one of the most important unresolved issues is protecting the privacy of data, both stored by and generated from mobile devices. Various attempts at protection have been proposed, however, how to meet both the privacy and usability requirements well is still an open problem. This thesis presents a solution which provides privacy while minimizing the impact on usability. By providing fake information to unwanted but unavoidable requests for sensitive data or sensor readings, we allow applications to execute unhindered. Meanwhile, in doing so we also protect the user's privacy and offer a graceful degradation of service when mock data is given to the requester. We implement our design to work within existing and novel permission frameworks for the Android OS, and measure performance and usability impacts.
Description
Thesis is part of Honors ETD pilot project, 2008-2013. Migrated from Dspace in 2016.
Date
2013-06-12
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Keywords
Data Privacy, Mock Data, Android, Security, Privacy, Operating System, Mobile
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Computer Science