Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
7-2019
Abstract
Face authentication is vulnerable to media-based virtual face forgery (MVFF) where adversaries display photos/videos or 3D virtual face models of victims to spoof face authentication systems. In this paper, we propose a liveness detection mechanism, called FaceCloseup, to protect the face authentication on mobile devices. FaceCloseup detects MVFF-based attacks by analyzing the distortion of face regions in a user's closeup facial videos captured by built-in camera on mobile device. It can detect MVFF-based attacks with an accuracy of 99.48%.
Keywords
Face authentication, Liveness detection, Perspective distortion
Discipline
Information Security
Research Areas
Cybersecurity
Publication
AsiaCCS 2019: Proceedings of the ACM Asia Conference on Information, Computer and Communications Security, Auckland, July 9-12
First Page
241
Last Page
246
ISBN
9781450367523
Identifier
10.1145/3321705.3329850
Publisher
ACM
City or Country
New York
Citation
LI, Yan; WANG, Zilong; LI, Yingjiu; DENG, Robert H.; CHEN, Binbin; MENG, Weizhi; and LI, Hui.
A closer look tells more: A facial distortion based liveness detection for face authentication. (2019). AsiaCCS 2019: Proceedings of the ACM Asia Conference on Information, Computer and Communications Security, Auckland, July 9-12. 241-246.
Available at: https://ink.library.smu.edu.sg/sis_research/4513
Copyright Owner and License
Publisher
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1145/3321705.3329850
