Mobile security and privacy : attacks and defenses
Abstract/Contents
- Abstract
- Smartphones are ubiquitous and hold much of our private personal data. Many smartphones are equipped with a multitude of sensors: cameras, microphones, motion sensors, magnetometers, GPS receivers and more. This dissertation explores ways in which smartphone sensors can be used for unintended applications. We show how to use the accelerometer and the microphone to obtain a robust hardware fingerprint that can be used to track a user across web sites; we show how to use the gyroscope to eavesdrop on speech; and we show how to to use the power meter to learn the location and movements of the owner. This work demonstrates that a combination of signal processing, machine learning and the physical properties of mobile hardware, can reveal unexpected information about the device and its owner. These results are intended to inform the community, and smartphone vendors, about the risks of giving sensor data to third party smartphone applications.
Description
| Type of resource | text |
|---|---|
| Form | electronic; electronic resource; remote |
| Extent | 1 online resource. |
| Publication date | 2017 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Associated with | Michalevsky, Yan |
|---|---|
| Associated with | Stanford University, Department of Electrical Engineering. |
| Primary advisor | Boneh, Dan, 1969- |
| Thesis advisor | Boneh, Dan, 1969- |
| Thesis advisor | Katti, Sachin |
| Thesis advisor | Weissman, Tsachy |
| Advisor | Katti, Sachin |
| Advisor | Weissman, Tsachy |
Subjects
| Genre | Theses |
|---|
Bibliographic information
| Statement of responsibility | Yan Michalevsky. |
|---|---|
| Note | Submitted to the Department of Electrical Engineering. |
| Thesis | Thesis (Ph.D.)--Stanford University, 2017. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2017 by Yan Michalevsky
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