Publication Type

Conference Proceeding Article

Version

acceptedVersion

Publication Date

10-2015

Abstract

Leveraging built-in cameras on smartphones and tablets, face authentication provides an attractive alternative of legacy passwords due to its memory-less authentication process. However, it has an intrinsic vulnerability against the media-based facial forgery (MFF) where adversaries use photos/videos containing victims' faces to circumvent face authentication systems. In this paper, we propose FaceLive, a practical and robust liveness detection mechanism to strengthen the face authentication on mobile devices in fighting the MFF-based attacks. FaceLive detects the MFF-based attacks by measuring the consistency between device movement data from the inertial sensors and the head pose changes from the facial video captured by built-in camera. FaceLive is practical in the sense that it does not require any additional hardware but a generic front-facing camera, an accelerometer, and a gyroscope, which are pervasively available on today's mobile devices. FaceLive is robust to complex lighting conditions, which may introduce illuminations and lead to low accuracy in detecting important facial landmarks; it is also robust to a range of cumulative errors in detecting head pose changes during face authentication.

Keywords

media-based facial forgery, face authentication, liveness detection

Discipline

Computer Sciences | Information Security

Research Areas

Cybersecurity

Publication

CCS 15: Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications Security, Denver, October 12-16

First Page

1558

Last Page

1569

ISBN

9781450338325

Identifier

10.1145/2810103.2813612

Publisher

ACM

City or Country

New York

Copyright Owner and License

Authors

Additional URL

https://doi.org/10.1145/2810103.2813612

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