Paper Info
Title
QID: Identifying Mobile Devices via Wireless Charging Fingerprints
Abstract
Recent years have witnessed the increasing penetration of wireless charging base stations in the workplace and public areas, such as airports and cafeteria. Such an emerging wireless charging infrastructure has presented opportunities for new indoor localization and identification services for mobile users. In this paper, we present QID, the first system that can identify a Qi-compliant mobile device during wireless charging in real-time. QID extracts features from the clock oscillator and control scheme of the power receiver and employs light-weight algorithms to classify the device. QID adopts 2-dimensional motion unit to emulate a variety of multi-coil designs of Qi, which allows for fine-grained device fingerprinting. Our results show that QID achieves high recognition accuracy. With the prevalence of public wireless charging stations, our results also have important implications for mobile user privacy.
Year
DOI
Venue
2020
10.1109/IoTDI49375.2020.00009
2020 IEEE/ACM Fifth International Conference on Internet-of-Things Design and Implementation (IoTDI)
Keywords
DocType
ISBN
Qi wireless charging, device recognition, real time processing
Conference
978-1-7281-6603-2
Citations 
PageRank 
References 
0
0.34
15
Authors
5
Name
Order
Citations
PageRank
Deliang Yang102.37
Guoliang Xing23416209.19
Jun Huang328422.18
Xiangmao Chang46611.74
Xiaofan Jiang5949110.46