TY - GEN
T1 - IRyP
T2 - 13th ACM Conference on Security and Privacy in Wireless and Mobile Networks, WiSec 2020
AU - Sun, Yuanyi
AU - Chen, Shiqing
AU - Zhu, Sencun
AU - Chen, Yu
N1 - Publisher Copyright:
© 2020 ACM.
PY - 2020/7/8
Y1 - 2020/7/8
N2 - With the growing popularity of mobile devices that have built-in cameras, capturing images has become a trivial job for ordinary people, who share the images with their friends or the public online. However, such digital images are often taken without the consent of some photographed persons, hence leading to privacy concerns. In this paper, we propose iRyP, a purely edge-based privacy-respecting system for mobile cameras. In order to meet the requirements of efficiency and usability, we propose to piggyback privacy policies in the advertising messages of Bluetooth Low Energy (BLE), which has been widely deployed in most mobile devices. As such, privacy policies of people in a photo view can be delivered timely and automatically. Moreover, we propose to use a perceptual hashing algorithm for fast face matching. To improve detection accuracy, we also design several new techniques for face-related image processing. We implement and evaluate a prototype system purely based on the Android platform. Our experiments show that iRyP can meet our design requirements and is practical and ready to use.
AB - With the growing popularity of mobile devices that have built-in cameras, capturing images has become a trivial job for ordinary people, who share the images with their friends or the public online. However, such digital images are often taken without the consent of some photographed persons, hence leading to privacy concerns. In this paper, we propose iRyP, a purely edge-based privacy-respecting system for mobile cameras. In order to meet the requirements of efficiency and usability, we propose to piggyback privacy policies in the advertising messages of Bluetooth Low Energy (BLE), which has been widely deployed in most mobile devices. As such, privacy policies of people in a photo view can be delivered timely and automatically. Moreover, we propose to use a perceptual hashing algorithm for fast face matching. To improve detection accuracy, we also design several new techniques for face-related image processing. We implement and evaluate a prototype system purely based on the Android platform. Our experiments show that iRyP can meet our design requirements and is practical and ready to use.
UR - http://www.scopus.com/inward/record.url?scp=85091981279&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85091981279&partnerID=8YFLogxK
U2 - 10.1145/3395351.3399341
DO - 10.1145/3395351.3399341
M3 - Conference contribution
AN - SCOPUS:85091981279
T3 - WiSec 2020 - Proceedings of the 13th ACM Conference on Security and Privacy in Wireless and Mobile Networks
SP - 195
EP - 206
BT - WiSec 2020 - Proceedings of the 13th ACM Conference on Security and Privacy in Wireless and Mobile Networks
PB - Association for Computing Machinery
Y2 - 8 July 2020 through 10 July 2020
ER -