User-controlled privacy for personal mobile data
Thesis: Elec. E. in Computer Science, Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2014.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2015
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| Online Access: | http://hdl.handle.net/1721.1/93839 |
| _version_ | 1811088869985091584 |
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| author | Paradesi, Sharon M. (Sharon Myrtle), 1986- |
| author2 | Lalana Kagal. |
| author_facet | Lalana Kagal. Paradesi, Sharon M. (Sharon Myrtle), 1986- |
| author_sort | Paradesi, Sharon M. (Sharon Myrtle), 1986- |
| collection | MIT |
| description | Thesis: Elec. E. in Computer Science, Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2014. |
| first_indexed | 2024-09-23T14:08:42Z |
| format | Thesis |
| id | mit-1721.1/93839 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T14:08:42Z |
| publishDate | 2015 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/938392019-04-12T15:56:10Z User-controlled privacy for personal mobile data Paradesi, Sharon M. (Sharon Myrtle), 1986- Lalana Kagal. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis: Elec. E. in Computer Science, Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2014. Cataloged from PDF version of thesis. Includes bibliographical references (pages 81-82). Smartphones collect a wide range of sensor data, ranging from the basic, such as location, accelerometer, and Bluetooth, to the more advanced, such as heart rate. Mobile apps on the Android and iOS platforms provide users with "all-or-nothing" controls during installation to get permission for data collection and use. Users have to either agree to have the app collect and use all the requested data or not use the app at all. This is slowly changing with the iOS framework, which now allows users to turn off location sharing with specific apps even after installation. MIT Living Lab platform is a mobile app development platform that uses openPDS to provide MIT users with personal data stores but currently lacks user controls for privacy. This thesis presents PrivacyMate, a suite of tools for MIT Living Labs that provide user-controllable privacy mechanisms for mobile apps. PrivacyMate aims to enable users to maintain better control over their mobile personal data. It extends the model of iOS and allows users to select or deselect various types of data (more than just location information) for collection and use by apps. Users can also provide temporal and spatial specifications to indicate a context in which they are comfortable sharing their data with certain apps. We incorporate the privacy mechanisms offered by PrivacyMate into two mobile apps built on the MIT Living Lab platform: ScheduleME and MIT-FIT. ScheduleME enables users to schedule meetings without disclosing either their locations or points of interest. MIT-FIT enables users to track personal and aggregate high-activity regions and times, as well as view personalized fitness-related event recommendations. The MIT Living Lab team is planning to eventually deploy PrivacyMate and MIT-FIT to the entire MIT community. by Sharon Myrtle Paradesi. Elec. E. in Computer Science 2015-02-05T18:27:46Z 2015-02-05T18:27:46Z 2014 2014 Thesis http://hdl.handle.net/1721.1/93839 900965859 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 82 pages application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Paradesi, Sharon M. (Sharon Myrtle), 1986- User-controlled privacy for personal mobile data |
| title | User-controlled privacy for personal mobile data |
| title_full | User-controlled privacy for personal mobile data |
| title_fullStr | User-controlled privacy for personal mobile data |
| title_full_unstemmed | User-controlled privacy for personal mobile data |
| title_short | User-controlled privacy for personal mobile data |
| title_sort | user controlled privacy for personal mobile data |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/93839 |
| work_keys_str_mv | AT paradesisharonmsharonmyrtle1986 usercontrolledprivacyforpersonalmobiledata |