One-factor cancellable scheme for fingerprint template protection: Extended Feature Vector (EFV) hashing

Ming Jie Lee; Zhe Jin; Andrew Beng Jin Teoh

doi:10.1109/WIFS.2018.8630782

One-factor cancellable scheme for fingerprint template protection: Extended Feature Vector (EFV) hashing

Ming Jie Lee, Zhe Jin, Andrew Beng Jin Teoh

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

18 Citations (Scopus)

Abstract

Cancellable biometrics is a biometric template protection method that generates a noninvertible identifier from the original biometric template by means of a parameterized transformation function and user/application-specific parameters such as token or password. However, the necessity to input additional factor besides biometrics, jeopardizes usability of the biometrics and security. In this paper, a one-factor cancellable biometrics scheme namely Extended Feature Vector (EFV) hashing, which requires sole biometric as input is proposed. The EFV hashing utilizes a permutated key that separated from the biometric data, to serve as identifier for matching. The crux that enables one-factor authentication in this scheme is the permutation seed of the key is derived from the biometric features of the user, but not from second factor as in existing schemes. The evaluations have been carried out with FVC 2002 and 2004 databases and attest the proposed method satisfies cancellable biometrics design criteria. We also analyze four privacy and security attacks that targeted to this scheme.

Original language	English
Title of host publication	10th IEEE International Workshop on Information Forensics and Security, WIFS 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538665367
DOIs	https://doi.org/10.1109/WIFS.2018.8630782
Publication status	Published - 2019 Jan 30
Event	10th IEEE International Workshop on Information Forensics and Security, WIFS 2018 - Hong Kong, Hong Kong Duration: 2018 Dec 10 → 2018 Dec 13

Publication series

Name	10th IEEE International Workshop on Information Forensics and Security, WIFS 2018

Conference

Conference	10th IEEE International Workshop on Information Forensics and Security, WIFS 2018
Country/Territory	Hong Kong
City	Hong Kong
Period	18/12/10 → 18/12/13

Bibliographical note

Funding Information:
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (NO. 2016R1A2B4011656).

Publisher Copyright:
© 2018 IEEE.

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Law
Information Systems and Management
Safety, Risk, Reliability and Quality

Access to Document

10.1109/WIFS.2018.8630782

Cite this

Lee, M. J., Jin, Z., & Teoh, A. B. J. (2019). One-factor cancellable scheme for fingerprint template protection: Extended Feature Vector (EFV) hashing. In 10th IEEE International Workshop on Information Forensics and Security, WIFS 2018 [8630782] (10th IEEE International Workshop on Information Forensics and Security, WIFS 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WIFS.2018.8630782

Lee, Ming Jie ; Jin, Zhe ; Teoh, Andrew Beng Jin. / One-factor cancellable scheme for fingerprint template protection : Extended Feature Vector (EFV) hashing. 10th IEEE International Workshop on Information Forensics and Security, WIFS 2018. Institute of Electrical and Electronics Engineers Inc., 2019. (10th IEEE International Workshop on Information Forensics and Security, WIFS 2018).

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abstract = "Cancellable biometrics is a biometric template protection method that generates a noninvertible identifier from the original biometric template by means of a parameterized transformation function and user/application-specific parameters such as token or password. However, the necessity to input additional factor besides biometrics, jeopardizes usability of the biometrics and security. In this paper, a one-factor cancellable biometrics scheme namely Extended Feature Vector (EFV) hashing, which requires sole biometric as input is proposed. The EFV hashing utilizes a permutated key that separated from the biometric data, to serve as identifier for matching. The crux that enables one-factor authentication in this scheme is the permutation seed of the key is derived from the biometric features of the user, but not from second factor as in existing schemes. The evaluations have been carried out with FVC 2002 and 2004 databases and attest the proposed method satisfies cancellable biometrics design criteria. We also analyze four privacy and security attacks that targeted to this scheme.",

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Lee, MJ, Jin, Z & Teoh, ABJ 2019, One-factor cancellable scheme for fingerprint template protection: Extended Feature Vector (EFV) hashing. in 10th IEEE International Workshop on Information Forensics and Security, WIFS 2018., 8630782, 10th IEEE International Workshop on Information Forensics and Security, WIFS 2018, Institute of Electrical and Electronics Engineers Inc., 10th IEEE International Workshop on Information Forensics and Security, WIFS 2018, Hong Kong, Hong Kong, 18/12/10. https://doi.org/10.1109/WIFS.2018.8630782

One-factor cancellable scheme for fingerprint template protection: Extended Feature Vector (EFV) hashing. / Lee, Ming Jie; Jin, Zhe; Teoh, Andrew Beng Jin.
10th IEEE International Workshop on Information Forensics and Security, WIFS 2018. Institute of Electrical and Electronics Engineers Inc., 2019. 8630782 (10th IEEE International Workshop on Information Forensics and Security, WIFS 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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N1 - Funding Information: This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (NO. 2016R1A2B4011656). Publisher Copyright: © 2018 IEEE.

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N2 - Cancellable biometrics is a biometric template protection method that generates a noninvertible identifier from the original biometric template by means of a parameterized transformation function and user/application-specific parameters such as token or password. However, the necessity to input additional factor besides biometrics, jeopardizes usability of the biometrics and security. In this paper, a one-factor cancellable biometrics scheme namely Extended Feature Vector (EFV) hashing, which requires sole biometric as input is proposed. The EFV hashing utilizes a permutated key that separated from the biometric data, to serve as identifier for matching. The crux that enables one-factor authentication in this scheme is the permutation seed of the key is derived from the biometric features of the user, but not from second factor as in existing schemes. The evaluations have been carried out with FVC 2002 and 2004 databases and attest the proposed method satisfies cancellable biometrics design criteria. We also analyze four privacy and security attacks that targeted to this scheme.

AB - Cancellable biometrics is a biometric template protection method that generates a noninvertible identifier from the original biometric template by means of a parameterized transformation function and user/application-specific parameters such as token or password. However, the necessity to input additional factor besides biometrics, jeopardizes usability of the biometrics and security. In this paper, a one-factor cancellable biometrics scheme namely Extended Feature Vector (EFV) hashing, which requires sole biometric as input is proposed. The EFV hashing utilizes a permutated key that separated from the biometric data, to serve as identifier for matching. The crux that enables one-factor authentication in this scheme is the permutation seed of the key is derived from the biometric features of the user, but not from second factor as in existing schemes. The evaluations have been carried out with FVC 2002 and 2004 databases and attest the proposed method satisfies cancellable biometrics design criteria. We also analyze four privacy and security attacks that targeted to this scheme.

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Lee MJ, Jin Z, Teoh ABJ. One-factor cancellable scheme for fingerprint template protection: Extended Feature Vector (EFV) hashing. In 10th IEEE International Workshop on Information Forensics and Security, WIFS 2018. Institute of Electrical and Electronics Engineers Inc. 2019. 8630782. (10th IEEE International Workshop on Information Forensics and Security, WIFS 2018). doi: 10.1109/WIFS.2018.8630782

One-factor cancellable scheme for fingerprint template protection: Extended Feature Vector (EFV) hashing

Abstract

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Bibliographical note

All Science Journal Classification (ASJC) codes

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