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

Ming Jie Lee, Zhe Jin, Andrew Beng Jin Teoh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 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 languageEnglish
Title of host publication10th IEEE International Workshop on Information Forensics and Security, WIFS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538665367
DOIs
Publication statusPublished - 2019 Jan 30
Event10th IEEE International Workshop on Information Forensics and Security, WIFS 2018 - Hong Kong, Hong Kong
Duration: 2018 Dec 102018 Dec 13

Publication series

Name10th IEEE International Workshop on Information Forensics and Security, WIFS 2018

Conference

Conference10th IEEE International Workshop on Information Forensics and Security, WIFS 2018
CountryHong Kong
CityHong Kong
Period18/12/1018/12/13

All Science Journal Classification (ASJC) codes

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

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    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