Biometrics-based identifiers for digital identity management

Abhilasha Bhargav-Spantzel, Anna Squicciarini, Elisa Bertino, Xiangwei Kong, Weike Zhang

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

8 Scopus citations

Abstract

We present algorithms to reliably generate biometric identifiers from a user's biometric image which in turn is used for identity verification possibly in conjunction with cryptographic keys. The biometric identifier generation algorithms employ image hashing functions using singular value decomposition and support vector classification techniques. Our algorithms capture generic biometric features that ensure unique and repeatable biometric identifiers. We provide an empirical evaluation of our techniques using 2569 images of 488 different individuals for three types of biometric images; namely fingerprint, iris and face. Based on the biometric type and the classification models, as a result of the empirical evaluation we can generate biometric identifiers ranging from 64 bits up to 214 bits. We provide an example use of the biometric identifiers in privacy preserving multi-factor identity verification based on zero knowledge proofs. Therefore several identity verification factors, including various traditional identity attributes, can be used in conjunction with one or more biometrics of the individual to provide strong identity verification. We also ensure security and privacy of the biometric data. More specifically, we analyze several attack scenarios. We assure privacy of the biometric using the one-way hashing property, in that no information about the original biometric image is revealed from the biometric identifier.

Original languageEnglish (US)
Title of host publicationIDtrust2010 - Proceedings of the 9th Symposium on Identity and Trust on the Internet
Pages84-96
Number of pages13
DOIs
StatePublished - 2010
Event9th Symposium on Identity and Trust on the Internet, IDtrust 2010 - Gaithersburg, MD, United States
Duration: Apr 13 2010Apr 15 2010

Publication series

NameACM International Conference Proceeding Series

Other

Other9th Symposium on Identity and Trust on the Internet, IDtrust 2010
Country/TerritoryUnited States
CityGaithersburg, MD
Period4/13/104/15/10

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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