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EchoLive: Acoustic-based 3D Dynamic Face Authentication

  • Zheng Zheng
  • , Jianyu Wu
  • , Siyang Zhu
  • , Cong Wang
  • , Yue Zhao
  • , Qian Wang*
  • *Corresponding author for this work

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

Abstract

Face authentication has become prevalent in our daily lives. However, mainstream vision-based face authentication systems suffer from some limitations, including poor performance in dark environments, vulnerability to spoofing attacks, and privacy concerns. This paper proposes EchoLive, an acoustic-based 3D dynamic face authentication system that leverages acoustic sensors on mobile devices to sense the 3D dynamic facial cues for authentication. It utilizes the speaker to emit ultrasonic acoustic signals and the microphone to receive the echo signals from the user's face. From the echo signals, we can extract users' unique 3D facial geometry and dynamic facial information (i.e., head movements) and then perform reliable and secure 3D dynamic authentication. Utilizing acoustic sensing technology, EchoLive exhibits robustness under various environmental lighting and noise conditions, providing strong security guarantees and alleviating user concerns about the privacy of visual facial data. Extensive experiments show that EchoLive can realize reliable 3D dynamic face authentication and defend against mainstream spoofing attacks well. © 2024 IEEE.
Original languageEnglish
Title of host publicationProceedings - 2024 20TH INTERNATIONAL CONFERENCE ON MOBILITY, SENSING AND NETWORKING, MSN 2024
Place of PublicationLos Alamitos, Calif.
PublisherIEEE Computer Society
Pages65-72
Number of pages8
ISBN (Electronic)979-8-3315-1602-4
ISBN (Print)979-8-3315-1603-1
DOIs
Publication statusPublished - Dec 2024
Event20th International Conference on Mobility, Sensing and Networking (MSN 2024) - Harbin, China
Duration: 20 Dec 202422 Dec 2024
https://ieee-msn.org/2024/

Publication series

NameProceedings - International Conference on Mobility, Sensing and Networking, MSN
ISSN (Print)2994-3515
ISSN (Electronic)2994-3523

Conference

Conference20th International Conference on Mobility, Sensing and Networking (MSN 2024)
PlaceChina
CityHarbin
Period20/12/2422/12/24
Internet address

Funding

Yue Zhao’s work was supported by the Sichuan Science and Technology Innovation Talent Program under grant No. 2024JDRC0007. Qian Wang’s work was partially supported by the NSFC under Grants U20B2049 and U21B2018.

Research Keywords

  • Biometrics
  • face authentication
  • liveness detection
  • anti-spoofing
  • acoustic sensing

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