Date Thesis Awarded
6-2013
Access Type
Honors Thesis -- Access Restricted On-Campus Only
Degree Name
Bachelors of Science (BS)
Department
Computer Science
Advisor
Haining Wang
Committee Members
Gang Zhou
C. Ryan Vinroot
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.
Recommended Citation
Cooley, Brett, "Metis: Mocking Data for Usability & Privacy" (2013). Undergraduate Honors Theses. William & Mary. Paper 578.
https://scholarworks.wm.edu/honorstheses/578
Creative Commons License
This work is licensed under a
Creative Commons Public Domain Dedication 1.0 License.
Comments
Thesis is part of Honors ETD pilot project, 2008-2013. Migrated from Dspace in 2016.