QID: Robust Mobile Device Recognition via a Multi-Coil Qi-Wireless Charging System

Author:

Yang Deliang1ORCID,Xing Guoliang2,Huang Jun3,Chang Xiangmao4,Jiang Xiaofan5

Affiliation:

1. Michigan State University, Michigan, USA

2. The Chinese University of Hong Kong, Hong Kong SAR, China

3. City University of Hong Kong, Kowloon Tong, Kowloon, Hong Kong SAR, China

4. Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, China

5. Columbia University, New York, NY, USA

Abstract

Recent years have witnessed the increasing penetration of wireless charging base stations in the workplace and public areas, such as airports and cafeterias. 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 a 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.

Funder

National Nature Science Foundation of China

National Science Foundation

Publisher

Association for Computing Machinery (ACM)

Subject

Software,Information Systems,Hardware and Architecture,Computer Science Applications,Computer Networks and Communications

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2. Side-Channel Based Device Authentication in Wireless Charging: An Experimental Study;2023 IEEE Sixth International Conference on Artificial Intelligence and Knowledge Engineering (AIKE);2023-09-25

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