TY - GEN
T1 - Your face your heart
T2 - 2017 IEEE Conference on Computer Communications, INFOCOM 2017
AU - Chen, Yimin
AU - Sun, Jingchao
AU - Jin, Xiaocong
AU - Li, Tao
AU - Zhang, Rui
AU - Zhang, Yanchao
N1 - Funding Information:
ACKNOWLEDGEMENT This work was supported in part by the US National Science Foundation under grants CNS-1421999, CNS-1320906, CNS-1514381, CNS-1619251, CNS-1700032, and CNS-1700039. We would also like to thank anonymous reviewers for their constructive comments and helpful advice.
Publisher Copyright:
© 2017 IEEE.
PY - 2017/10/2
Y1 - 2017/10/2
N2 - Face authentication emerges as a powerful method for preventing unauthorized access to mobile devices. It is, however, vulnerable to photo-based forgery attacks (PFA) and videobased forgery attacks (VFA), in which the adversary exploits a photo or video containing the user's frontal face. Effective defenses against PFA and VFA often rely on liveness detection, which seeks to find a live indicator that the submitted face photo or video of the legitimate user is indeed captured in real time. In this paper, we propose FaceHeart, a novel and practical face authentication system for mobile devices. FaceHeart simultaneously takes a face video with the front camera and a fingertip video with the rear camera on COTS mobile devices. It then achieves liveness detection by comparing the two photoplethysmograms independently extracted from the face and fingertip videos, which should be highly consistent if the two videos are for the same live person and taken at the same time. As photoplethysmograms are closely tied to human cardiac activity and almost impossible to forge or control, FaceHeart is strongly resilient to PFA and VFA. Extensive user experiments on Samsung Galaxy S5 have confirmed the high efficacy and efficiency of FaceHeart.
AB - Face authentication emerges as a powerful method for preventing unauthorized access to mobile devices. It is, however, vulnerable to photo-based forgery attacks (PFA) and videobased forgery attacks (VFA), in which the adversary exploits a photo or video containing the user's frontal face. Effective defenses against PFA and VFA often rely on liveness detection, which seeks to find a live indicator that the submitted face photo or video of the legitimate user is indeed captured in real time. In this paper, we propose FaceHeart, a novel and practical face authentication system for mobile devices. FaceHeart simultaneously takes a face video with the front camera and a fingertip video with the rear camera on COTS mobile devices. It then achieves liveness detection by comparing the two photoplethysmograms independently extracted from the face and fingertip videos, which should be highly consistent if the two videos are for the same live person and taken at the same time. As photoplethysmograms are closely tied to human cardiac activity and almost impossible to forge or control, FaceHeart is strongly resilient to PFA and VFA. Extensive user experiments on Samsung Galaxy S5 have confirmed the high efficacy and efficiency of FaceHeart.
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U2 - 10.1109/INFOCOM.2017.8057220
DO - 10.1109/INFOCOM.2017.8057220
M3 - Conference contribution
AN - SCOPUS:85034038501
T3 - Proceedings - IEEE INFOCOM
BT - INFOCOM 2017 - IEEE Conference on Computer Communications
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 1 May 2017 through 4 May 2017
ER -