research-article

BreathLive: Liveness Detection for Heart Sound Authentication with Deep Breathing

Authors:

Qian ZhangAuthors Info & Claims

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Volume 2, Issue 1

Article No.: 12, Pages 1 - 25

https://doi.org/10.1145/3191744

Published: 26 March 2018 Publication History

Abstract

Nowadays, considerable number of devices have been proposed to monitor cardiovascular health. To protect medical data on these devices from unauthorized access, researchers have proposed ECG-based and heart sound-based authentication methods. However, their vulnerabilities to replay attacks have recently been revealed. In this paper, we leverage liveness detection to enhance heart sound-based authentication against replay attacks. We utilize the inherent correlation between sounds and chest motion caused by deep breathing to realize a reliable liveness detection system, BreathLive. To be specific, BreathLive captures breathing sounds and chest motion simultaneously, and then eliminates signal delay caused by any imperfections of device components. Next, it extracts a set of features to characterize the correlation between sounds and motion signals, and uses them to train the classifier. We implement and evaluated BreathLive under different attacking scenarios and contexts. The results show that BreathLive achieves an equal error rate of 4.0%, 6.4% and 8.3% for random impersonation attacks, advanced impersonation attacks and advanced replay attacks respectively, which indicates its effectiveness in defending against different attacks. Also the extensive experiments prove the system can be robust to different contexts with a small training set.

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Cited By

Lee MWei QLee SPark H(2023)DDM-HSA: Dual Deterministic Model-Based Heart Sound Analysis for Daily Life MonitoringSensors10.3390/s2305242323:5(2423)Online publication date: 22-Feb-2023
https://doi.org/10.3390/s23052423
He QFang S(2023)Phantom-CSI Attacks against Wireless Liveness DetectionProceedings of the 26th International Symposium on Research in Attacks, Intrusions and Defenses10.1145/3607199.3607245(440-454)Online publication date: 16-Oct-2023
https://dl.acm.org/doi/10.1145/3607199.3607245
Li YLiu LQin HDeng SEl-Yacoubi MZhou G(2023)Adaptive Deep Feature Fusion for Continuous Authentication With Data AugmentationIEEE Transactions on Mobile Computing10.1109/TMC.2022.318661422:10(5690-5705)Online publication date: 1-Oct-2023
https://doi.org/10.1109/TMC.2022.3186614
Show More Cited By

Index Terms

BreathLive: Liveness Detection for Heart Sound Authentication with Deep Breathing
1. Human-centered computing
  1. Ubiquitous and mobile computing
2. Security and privacy
  1. Network security
    1. Mobile and wireless security
  2. Security services

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cover image Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Volume 2, Issue 1

March 2018

1370 pages

EISSN:2474-9567

DOI:10.1145/3200905

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Copyright © 2018 ACM.

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Association for Computing Machinery

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Publication History

Published: 26 March 2018

Accepted: 01 January 2018

Revised: 01 November 2017

Received: 01 August 2017

Published in IMWUT Volume 2, Issue 1

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Cited By

Lee MWei QLee SPark H(2023)DDM-HSA: Dual Deterministic Model-Based Heart Sound Analysis for Daily Life MonitoringSensors10.3390/s2305242323:5(2423)Online publication date: 22-Feb-2023
https://doi.org/10.3390/s23052423
He QFang S(2023)Phantom-CSI Attacks against Wireless Liveness DetectionProceedings of the 26th International Symposium on Research in Attacks, Intrusions and Defenses10.1145/3607199.3607245(440-454)Online publication date: 16-Oct-2023
https://dl.acm.org/doi/10.1145/3607199.3607245
Li YLiu LQin HDeng SEl-Yacoubi MZhou G(2023)Adaptive Deep Feature Fusion for Continuous Authentication With Data AugmentationIEEE Transactions on Mobile Computing10.1109/TMC.2022.318661422:10(5690-5705)Online publication date: 1-Oct-2023
https://doi.org/10.1109/TMC.2022.3186614
Ren YXia ZLi SLiu HChen YLi SLi H(2023)EchoImage: User Authentication on Smart Speakers Using Acoustic Signals2023 IEEE 43rd International Conference on Distributed Computing Systems (ICDCS)10.1109/ICDCS57875.2023.00048(236-247)Online publication date: Jul-2023
https://doi.org/10.1109/ICDCS57875.2023.00048
Peng YYao M(2023) Quantitatively Visualizing Airborne Disease Transmission Risks of Different Exhalation Activities through CO 2 Imaging Environmental Science & Technology10.1021/acs.est.2c0850357:17(6865-6875)Online publication date: 19-Apr-2023
https://doi.org/10.1021/acs.est.2c08503
Asadianfam STalebi MNikougoftar E(2023)ECG-based authentication systems: a comprehensive and systematic reviewMultimedia Tools and Applications10.1007/s11042-023-16506-383:9(27647-27701)Online publication date: 23-Aug-2023
https://doi.org/10.1007/s11042-023-16506-3
Chen MLin JLi WZou YWu K(2022)SnapUnlockWireless Communications & Mobile Computing10.1155/2022/21344932022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/2134493
Jiokeng KJakllari GBeylot A(2022)I Want to Know Your HandProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35345756:2(1-27)Online publication date: 7-Jul-2022
https://dl.acm.org/doi/10.1145/3534575
Camara CPeris-Lopez PSafkhani MBagheri N(2022)ECGsound for human identificationBiomedical Signal Processing and Control10.1016/j.bspc.2021.10333572(103335)Online publication date: Feb-2022
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Shakeel THabib SBoulila WKoubaa AJaved ARizwan MGadekallu TSufiyan M(2022)A survey on COVID-19 impact in the healthcare domain: worldwide market implementation, applications, security and privacy issues, challenges and future prospectsComplex & Intelligent Systems10.1007/s40747-022-00767-w9:1(1027-1058)Online publication date: 31-May-2022
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