WaveSpy: Remote and through-wall screen attack via mmwave sensing

Zhengxiong Li, Fenglong Ma, Aditya Singh Rathore, Zhuolin Yang, Baicheng Chen, Lu Su, Wenyao Xu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

36 Scopus citations

Abstract

Digital screens, such as liquid crystal displays (LCDs), are vulnerable to attacks (e.g., "shoulder surfing") that can bypass security protection services (e.g., firewall) to steal confidential information from intended victims. The conventional practice to mitigate these threats is isolation. An isolated zone, without accessibility, proximity, and line-of-sight, seems to bring personal devices to a truly secure place.In this paper, we revisit this historical topic and re-examine the security risk of screen attacks in an isolation scenario mentioned above. Specifically, we identify and validate a new and practical side-channel attack for screen content via liquid crystal nematic state estimation using a low-cost radio-frequency sensor. By leveraging the relationship between the screen content and the states of liquid crystal arrays in displays, we develop WaveSpy, an end-to-end portable through-wall screen attack system. WaveSpy comprises a low-cost, energy-efficient and light-weight millimeter-wave (mmWave) probe which can remotely collect the liquid crystal state response to a set of mmWave stimuli and facilitate screen content inference, even when the victim's screen is placed in an isolated zone. We intensively evaluate the performance and practicality of WaveSpy in screen attacks, including over 100 different types of content on 30 digital screens of modern electronic devices. WaveSpy achieves an accuracy of 99% in screen content type recognition and a success rate of 87.77% in Top-3 sensitive information retrieval under real-world scenarios, respectively. Furthermore, we discuss several potential defense mechanisms to mitigate screen eavesdropping similar to WaveSpy.

Original languageEnglish (US)
Title of host publicationProceedings - 2020 IEEE Symposium on Security and Privacy, SP 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages217-232
Number of pages16
ISBN (Electronic)9781728134970
DOIs
StatePublished - May 2020
Event41st IEEE Symposium on Security and Privacy, SP 2020 - San Francisco, United States
Duration: May 18 2020May 21 2020

Publication series

NameProceedings - IEEE Symposium on Security and Privacy
Volume2020-May
ISSN (Print)1081-6011

Conference

Conference41st IEEE Symposium on Security and Privacy, SP 2020
Country/TerritoryUnited States
CitySan Francisco
Period5/18/205/21/20

All Science Journal Classification (ASJC) codes

  • Safety, Risk, Reliability and Quality
  • Software
  • Computer Networks and Communications

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