Uncovering User Interactions on Smartphones via Contactless Wireless Charging Side Channels

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

18 Scopus Citations
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Author(s)

  • Xiaokuan Zhang
  • Chaoshun Zuo
  • Jianfeng Li
  • Zhenyu Yan
  • Wubing Wang
  • Xiapu Luo

Related Research Unit(s)

Detail(s)

Original languageEnglish
Title of host publicationProceedings - 44th IEEE Symposium on Security and Privacy, SP 2023
PublisherInstitute of Electrical and Electronics Engineers, Inc.
Pages3399-3415
Number of pages17
ISBN (electronic)978-1-6654-9336-9
ISBN (print)978-1-6654-9337-6
Publication statusPublished - 2023

Publication series

NameProceedings - IEEE Symposium on Security and Privacy
ISSN (Print)1081-6011
ISSN (electronic)2375-1207

Conference

Title44th IEEE Symposium on Security and Privacy (SP 2023)
LocationHybrid
PlaceUnited States
CitySan Francisco
Period22 - 26 May 2023

Abstract

Today, there is an increasing number of smartphones supporting wireless charging that leverages electromagnetic induction to transmit power from a wireless charger to the charging smartphone. In this paper, we report a new contactless and context-aware wireless-charging side-channel attack, which captures two physical phenomena (i.e., the coil whine and the magnetic field perturbation) generated during this wireless charging process and further infers the user interactions on the charging smartphone. We design and implement a three-stage attack framework, dubbed WISERS, to demonstrate the practicality of this new side channel. WISERS first captures the coil whine and the magnetic field perturbation emitted by the wireless charger, then infers (i) inter-interface switches (e.g., switching from the home screen to an app interface) and (ii) intra-interface activities (e.g., keyboard inputs inside an app) to build user interaction contexts, and further reveals sensitive information. We extensively evaluate the effectiveness of WISERS with popular smartphones and commercial-off-the-shelf (COTS) wireless chargers. Our evaluation results suggest that WISERS can achieve over 90.4% accuracy in inferring sensitive information, such as screen-unlocking passcode and app launch. In addition, our study also shows that WISERS is resilient to a list of impact factors. © 2023, Tao Ni. Under license to IEEE.

Research Area(s)

  • wireless charging, Side channel attack

Bibliographic Note

Information for this record is supplemented by the author(s) concerned.

Citation Format(s)

Uncovering User Interactions on Smartphones via Contactless Wireless Charging Side Channels. / Ni, Tao; Zhang, Xiaokuan; Zuo, Chaoshun et al.
Proceedings - 44th IEEE Symposium on Security and Privacy, SP 2023. Institute of Electrical and Electronics Engineers, Inc., 2023. p. 3399-3415 (Proceedings - IEEE Symposium on Security and Privacy).

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