QID : Identifying mobile devices via wireless charging fingerprints

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

7 Scopus Citations
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Author(s)

  • Deliang Yang
  • Guoliang Xing
  • Jun Huang
  • Xiangmao Chang
  • Xiaofan Jiang

Detail(s)

Original languageEnglish
Title of host publicationProceedings - 5th ACM/IEEE Conference on Internet of Things Design and Implementation, IoTDI 2020
PublisherInstitute of Electrical and Electronics Engineers, Inc.
Pages1-13
ISBN (electronic)78-1-7281-6602-5
ISBN (print)978-1-7281-6603-2
Publication statusPublished - 2020
Externally publishedYes

Publication series

NameProceedings - ACM/IEEE Conference on Internet of Things Design and Implementation, IoTDI

Conference

Title5th ACM/IEEE Conference on Internet of Things Design and Implementation, IoTDI 2020
LocationVirtual
PlaceAustralia
CitySydney
Period21 - 24 April 2020

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.

Research Area(s)

  • Device recognition, Qi wireless charging, Real time processing

Citation Format(s)

QID: Identifying mobile devices via wireless charging fingerprints. / Yang, Deliang; Xing, Guoliang; Huang, Jun et al.
Proceedings - 5th ACM/IEEE Conference on Internet of Things Design and Implementation, IoTDI 2020. Institute of Electrical and Electronics Engineers, Inc., 2020. p. 1-13 9097527 (Proceedings - ACM/IEEE Conference on Internet of Things Design and Implementation, IoTDI).

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review