TY - GEN
T1 - Privacy-Preserving Large-Scale Location Monitoring Using Bluetooth Low Energy
AU - Chen, Zhuo
AU - Hu, Haibo
AU - Yu, Jielin
N1 - This work was supported by RGC/GRF 210612, 12200914 and ITF ITS/231/13FX.
Publisher Copyright:
© 2015 IEEE.
PY - 2015/12/16
Y1 - 2015/12/16
N2 - Wearable devices such as smart watch and bracelets continually broadcast Bluetooth Low Energy (BLE) signals, which can be easily captured by monitoring devices such as WiFi routers and Bluetooth scanners, As more and more wearable devices emerge, unauthorized monitoring and tracking by adversary becomes great privacy threats not only in the cyberworld, but also in the physical world, To protect location privacy, this paper presents a real-life location monitoring system that is based on BLE privacy feature that changes the device physical address periodically, To enable users to better control their privacy level while still providing monitoring and tracking service to authorized parties (e.g., for child and elderly care), we extend BLE privacy by enriching its privacy semantics with a comprehensive set of metrics, such as simple opt-in/out, k-anonymity, and granularity-based anonymity, The system has been implemented and evaluated in terms of accuracy and user study.
AB - Wearable devices such as smart watch and bracelets continually broadcast Bluetooth Low Energy (BLE) signals, which can be easily captured by monitoring devices such as WiFi routers and Bluetooth scanners, As more and more wearable devices emerge, unauthorized monitoring and tracking by adversary becomes great privacy threats not only in the cyberworld, but also in the physical world, To protect location privacy, this paper presents a real-life location monitoring system that is based on BLE privacy feature that changes the device physical address periodically, To enable users to better control their privacy level while still providing monitoring and tracking service to authorized parties (e.g., for child and elderly care), we extend BLE privacy by enriching its privacy semantics with a comprehensive set of metrics, such as simple opt-in/out, k-anonymity, and granularity-based anonymity, The system has been implemented and evaluated in terms of accuracy and user study.
KW - bluetooth low energy
KW - location privacy
UR - http://www.scopus.com/inward/record.url?scp=84964533621&partnerID=8YFLogxK
U2 - 10.1109/MSN.2015.38
DO - 10.1109/MSN.2015.38
M3 - Conference proceeding
AN - SCOPUS:84964533621
T3 - Proceedings - International Conference on Mobile Ad-Hoc and Sensor Networks, MSN
SP - 69
EP - 78
BT - Proceedings - 11th International Conference on Mobile Ad-Hoc and Sensor Networks, MSN 2015
PB - IEEE
T2 - 11th International Conference on Mobile Ad-Hoc and Sensor Networks, MSN 2015
Y2 - 16 December 2015 through 18 December 2015
ER -