Evaluation of PPG Feature Values Toward Biometric Authentication Against Presentation Attacks

In this study, we examined information leakage in photoplethysmogram (PPG)-based biometric authentication and assessed an attack against authentication based on the information leakage. Several approaches have been proposed to apply PPG to biometric authentication using a wearable device; however, t...

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Main Authors: Shun Hinatsu, Daisuke Suzuki, Hiroki Ishizuka, Sei Ikeda, Osamu Oshiro
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9758697/
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author Shun Hinatsu
Daisuke Suzuki
Hiroki Ishizuka
Sei Ikeda
Osamu Oshiro
author_facet Shun Hinatsu
Daisuke Suzuki
Hiroki Ishizuka
Sei Ikeda
Osamu Oshiro
author_sort Shun Hinatsu
collection DOAJ
description In this study, we examined information leakage in photoplethysmogram (PPG)-based biometric authentication and assessed an attack against authentication based on the information leakage. Several approaches have been proposed to apply PPG to biometric authentication using a wearable device; however, there may be several attacks against PPG-based authentication. One of the attacks is a “presentation attack” (PA), which utilizes the information leakage originating from the various PPG measurement sites on a body. The PA records the victim’s PPG stealthily on non-genuine measurement sites and transmits it to the PPG sensor to break the authentication. We examined the information leakage and assessed the PA by evaluating feature values extracted from the PPG signals. We recorded the PPG signals of 12 participants on their fingertips and wrists. We compared the feature values extracted from the recorded PPG signals by computing the differences, correlation coefficients, and mutual information to examine the leakage of information required for the PPG-based authentication. We then assessed the feasibility of a PA based on existing PPG-based authentication algorithms and evaluated the contribution of each value to authentication and PA by computing the permutation importance of all feature values. The experimental results indicated that there might be information leakage and selection of feature values to reduce the feasibility of the PA up to 62.8 %.
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spelling doaj.art-9f13fe377fc9449487dda187d9fcd0722022-12-22T01:16:31ZengIEEEIEEE Access2169-35362022-01-0110413524136110.1109/ACCESS.2022.31676679758697Evaluation of PPG Feature Values Toward Biometric Authentication Against Presentation AttacksShun Hinatsu0https://orcid.org/0000-0002-6575-6648Daisuke Suzuki1Hiroki Ishizuka2https://orcid.org/0000-0001-9920-6903Sei Ikeda3https://orcid.org/0000-0002-8829-1580Osamu Oshiro4Information Technology Research and Development Center, Mitsubishi Electric Corporation, Kamakura, JapanInformation Technology Research and Development Center, Mitsubishi Electric Corporation, Kamakura, JapanGraduate School of Engineering Science, Osaka University, Toyonaka, JapanGraduate School of Engineering Science, Osaka University, Toyonaka, JapanGraduate School of Engineering Science, Osaka University, Toyonaka, JapanIn this study, we examined information leakage in photoplethysmogram (PPG)-based biometric authentication and assessed an attack against authentication based on the information leakage. Several approaches have been proposed to apply PPG to biometric authentication using a wearable device; however, there may be several attacks against PPG-based authentication. One of the attacks is a “presentation attack” (PA), which utilizes the information leakage originating from the various PPG measurement sites on a body. The PA records the victim’s PPG stealthily on non-genuine measurement sites and transmits it to the PPG sensor to break the authentication. We examined the information leakage and assessed the PA by evaluating feature values extracted from the PPG signals. We recorded the PPG signals of 12 participants on their fingertips and wrists. We compared the feature values extracted from the recorded PPG signals by computing the differences, correlation coefficients, and mutual information to examine the leakage of information required for the PPG-based authentication. We then assessed the feasibility of a PA based on existing PPG-based authentication algorithms and evaluated the contribution of each value to authentication and PA by computing the permutation importance of all feature values. The experimental results indicated that there might be information leakage and selection of feature values to reduce the feasibility of the PA up to 62.8 %.https://ieeexplore.ieee.org/document/9758697/Biometric authenticationidentity spoofingphotoplethysmogram and presentation attack
spellingShingle Shun Hinatsu
Daisuke Suzuki
Hiroki Ishizuka
Sei Ikeda
Osamu Oshiro
Evaluation of PPG Feature Values Toward Biometric Authentication Against Presentation Attacks
IEEE Access
Biometric authentication
identity spoofing
photoplethysmogram and presentation attack
title Evaluation of PPG Feature Values Toward Biometric Authentication Against Presentation Attacks
title_full Evaluation of PPG Feature Values Toward Biometric Authentication Against Presentation Attacks
title_fullStr Evaluation of PPG Feature Values Toward Biometric Authentication Against Presentation Attacks
title_full_unstemmed Evaluation of PPG Feature Values Toward Biometric Authentication Against Presentation Attacks
title_short Evaluation of PPG Feature Values Toward Biometric Authentication Against Presentation Attacks
title_sort evaluation of ppg feature values toward biometric authentication against presentation attacks
topic Biometric authentication
identity spoofing
photoplethysmogram and presentation attack
url https://ieeexplore.ieee.org/document/9758697/
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AT seiikeda evaluationofppgfeaturevaluestowardbiometricauthenticationagainstpresentationattacks
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