TY - GEN
T1 - Cardiac scan
T2 - 23rd Annual International Conference on Mobile Computing and Networking, MobiCom 2017
AU - Lin, Feng
AU - Song, Chen
AU - Zhuang, Yan
AU - Xu, Wenyao
AU - Li, Changzhi
AU - Ren, Kui
N1 - Funding Information:
We thank our shepherd Lakshminarayanan Subramanian and anonymous reviewers for their insightful comments on this paper. This work was in part supported by the National Science Foundation under grant No. 1718483/1718375, No. 1564104, and No. CNS-1421903.
Publisher Copyright:
© 2017 Association for Computing Machinery.
PY - 2017/10/4
Y1 - 2017/10/4
N2 - Continuous authentication is of great importance to maintain the security level of a system throughout the login session. The goal of this work is to investigate a trustworthy, continuous, and non-contact user authentication approach based on a heart-related bio-metric that works in a daily-life environment. To this end, we present a novel, continuous authentication system, namely Cardiac Scan, based on geometric and non-volitional features of the cardiac motion. Cardiac motion is an automatic heart deformation caused by self-excitement of the cardiac muscle, which is unique to each user and is difficult (if not impossible) to counterfeit. Cardiac Scan features intrinsic liveness detection, unobtrusiveness, cost-effectiveness, and high usability. We prototype a remote, highresolution cardiac motion sensing system based on the smart DC-coupled continuous-wave radar. Fiducial-based invariant identity descriptors of cardiac motion are extracted after the radar signal demodulation. We conduct a pilot study with 78 subjects to evaluate Cardiac Scan in accuracy, authentication time, permanence, evaluation in complex conditions, and vulnerability. Specifically, Cardiac Scan achieves 98.61% balanced accuracy (BAC) and 4.42% equal error rate (EER) in a real-world setup. We demonstrate that Cardiac Scan is a robust and usable continuous authentication system.
AB - Continuous authentication is of great importance to maintain the security level of a system throughout the login session. The goal of this work is to investigate a trustworthy, continuous, and non-contact user authentication approach based on a heart-related bio-metric that works in a daily-life environment. To this end, we present a novel, continuous authentication system, namely Cardiac Scan, based on geometric and non-volitional features of the cardiac motion. Cardiac motion is an automatic heart deformation caused by self-excitement of the cardiac muscle, which is unique to each user and is difficult (if not impossible) to counterfeit. Cardiac Scan features intrinsic liveness detection, unobtrusiveness, cost-effectiveness, and high usability. We prototype a remote, highresolution cardiac motion sensing system based on the smart DC-coupled continuous-wave radar. Fiducial-based invariant identity descriptors of cardiac motion are extracted after the radar signal demodulation. We conduct a pilot study with 78 subjects to evaluate Cardiac Scan in accuracy, authentication time, permanence, evaluation in complex conditions, and vulnerability. Specifically, Cardiac Scan achieves 98.61% balanced accuracy (BAC) and 4.42% equal error rate (EER) in a real-world setup. We demonstrate that Cardiac Scan is a robust and usable continuous authentication system.
KW - Biometrics
KW - Continuous authentication
KW - Non-contact sensing
UR - http://www.scopus.com/inward/record.url?scp=85034037530&partnerID=8YFLogxK
U2 - 10.1145/3117811.3117839
DO - 10.1145/3117811.3117839
M3 - Conference contribution
AN - SCOPUS:85034037530
T3 - Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM
SP - 315
EP - 328
BT - MobiCom 2017 - Proceedings of the 23rd Annual International Conference on Mobile Computing and Networking
PB - Association for Computing Machinery
Y2 - 16 August 2017 through 20 August 2017
ER -