Privacy-preserving population-enhanced biometric key generation from free-text keystroke dynamics

Jaroslav Sedenkay, Kiran S. Balagani, Vir Phoha, Paolo Gasti

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

4 Scopus citations

Abstract

Biometric key generation techniques are used to reliably generate cryptographic material from biometric signals. Existing constructions require users to perform a particular activity (e.g., type or say a password, or provide a handwritten signature), and are therefore not suitable for generating keys continuously. In this paper we present a new technique for biometric key generation from free-text keystroke dynamics. This is the first technique suitable for continuous key generation. Our approach is based on a scaled parity code for key generation (and subsequent key reconstruction), and can be augmented with the use of population data to improve security and reduce key reconstruction error. In particular, we rely on linear discriminant analysis (LDA) to obtain a better representation of discriminable biometric signals. To update the LDA matrix without disclosing user's biometric information, we design a provably secure privacypreserving protocol (PP-LDA) based on homomorphic encryption. Our biometric key generation with PP-LDA was evaluated on a dataset of 486 users. We report equal error rate around 5% when using LDA, and below 7% without LDA.

Original languageEnglish (US)
Title of host publicationIJCB 2014 - 2014 IEEE/IAPR International Joint Conference on Biometrics
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479935840
DOIs
StatePublished - Dec 23 2014
Externally publishedYes
Event2nd IEEE/IAPR International Joint Conference on Biometrics, IJCB 2014 - Clearwater, United States
Duration: Sep 29 2014Oct 2 2014

Publication series

NameIJCB 2014 - 2014 IEEE/IAPR International Joint Conference on Biometrics

Other

Other2nd IEEE/IAPR International Joint Conference on Biometrics, IJCB 2014
CountryUnited States
CityClearwater
Period9/29/1410/2/14

ASJC Scopus subject areas

  • Biotechnology

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    Sedenkay, J., Balagani, K. S., Phoha, V., & Gasti, P. (2014). Privacy-preserving population-enhanced biometric key generation from free-text keystroke dynamics. In IJCB 2014 - 2014 IEEE/IAPR International Joint Conference on Biometrics [6996244] (IJCB 2014 - 2014 IEEE/IAPR International Joint Conference on Biometrics). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BTAS.2014.6996244