Abstract
For many people, smartphones serve as a technical interface to the modern world. These smart devices have embedded on-board sensors, such as accelerometers, gyroscopes, GPS sensors, and cameras, which can be used to develop new mobile applications. However, the sensors also pose privacy risks to users. This work describes BlurSense, a tool that provides secure and customizable access to all of the sensors on smartphones, tablets, and similar end user devices. The current access control to the smartphone resources, such as sensor data, is static and coarse-grained. BlurSense is a dynamic, fine-grained, flexible access control mechanism, acting as a line of defense that allows users to define and add privacy filters. As a result, the user can expose filtered sensor data to untrusted apps, and researchers can collect data in a way that safeguards users' privacy.
| Original language | English (US) |
|---|---|
| Title of host publication | 2014 IEEE Sensors Applications Symposium, SAS 2014 - Proceedings |
| Publisher | IEEE Computer Society |
| Pages | 329-332 |
| Number of pages | 4 |
| DOIs | |
| State | Published - 2014 |
| Event | 2014 9th IEEE Sensors Applications Symposium, SAS 2014 - Queenstown, New Zealand Duration: Feb 18 2014 → Feb 20 2014 |
Other
| Other | 2014 9th IEEE Sensors Applications Symposium, SAS 2014 |
|---|---|
| Country | New Zealand |
| City | Queenstown |
| Period | 2/18/14 → 2/20/14 |
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Keywords
- data filtering
- privacy
- Sensor access control
ASJC Scopus subject areas
- Computer Science Applications
Cite this
BlurSense : Dynamic fine-grained access control for smartphone privacy. / Cappos, Justin; Wang, Lai; Weiss, Richard; Yang, Yi; Zhuang, Yanyan.
2014 IEEE Sensors Applications Symposium, SAS 2014 - Proceedings. IEEE Computer Society, 2014. p. 329-332 6798970.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - BlurSense
T2 - Dynamic fine-grained access control for smartphone privacy
AU - Cappos, Justin
AU - Wang, Lai
AU - Weiss, Richard
AU - Yang, Yi
AU - Zhuang, Yanyan
PY - 2014
Y1 - 2014
N2 - For many people, smartphones serve as a technical interface to the modern world. These smart devices have embedded on-board sensors, such as accelerometers, gyroscopes, GPS sensors, and cameras, which can be used to develop new mobile applications. However, the sensors also pose privacy risks to users. This work describes BlurSense, a tool that provides secure and customizable access to all of the sensors on smartphones, tablets, and similar end user devices. The current access control to the smartphone resources, such as sensor data, is static and coarse-grained. BlurSense is a dynamic, fine-grained, flexible access control mechanism, acting as a line of defense that allows users to define and add privacy filters. As a result, the user can expose filtered sensor data to untrusted apps, and researchers can collect data in a way that safeguards users' privacy.
AB - For many people, smartphones serve as a technical interface to the modern world. These smart devices have embedded on-board sensors, such as accelerometers, gyroscopes, GPS sensors, and cameras, which can be used to develop new mobile applications. However, the sensors also pose privacy risks to users. This work describes BlurSense, a tool that provides secure and customizable access to all of the sensors on smartphones, tablets, and similar end user devices. The current access control to the smartphone resources, such as sensor data, is static and coarse-grained. BlurSense is a dynamic, fine-grained, flexible access control mechanism, acting as a line of defense that allows users to define and add privacy filters. As a result, the user can expose filtered sensor data to untrusted apps, and researchers can collect data in a way that safeguards users' privacy.
KW - data filtering
KW - privacy
KW - Sensor access control
UR - http://www.scopus.com/inward/record.url?scp=84900031252&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84900031252&partnerID=8YFLogxK
U2 - 10.1109/SAS.2014.6798970
DO - 10.1109/SAS.2014.6798970
M3 - Conference contribution
AN - SCOPUS:84900031252
SP - 329
EP - 332
BT - 2014 IEEE Sensors Applications Symposium, SAS 2014 - Proceedings
PB - IEEE Computer Society
ER -