A genetic algorithm enabled similarity-based attack on cancellable biometrics

Xingbo Dong, Zhe Jin, Andrew Teoh Beng Jin

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

44 Citations (Scopus)

Abstract

Cancellable biometrics (CB) as a means for biometric template protection approach refers to an irreversible yet similarity preserving transformation on the original template. With similarity preserving property, the matching between template and query instance can be performed in the transform domain without jeopardizing accuracy performance. Unfortunately, this trait invites a class of attack, namely similarity-based attack (SA). SA produces a preimage, an inverse of transformed template, which can be exploited for impersonation and cross-matching. In this paper, we propose a Genetic Algorithm enabled similarity-based attack framework (GASAF) to demonstrate that CB schemes whose possess similarity preserving property are highly vulnerable to similarity-based attack. Besides that, a set of new metrics is designed to measure the effectiveness of the similarity-based attack. We conduct the experiment on two representative CB schemes, i.e. BioHashing and Bloom-filter. The experimental results attest the vulnerability under this type of attack.

Original languageEnglish
Title of host publication2019 IEEE 10th International Conference on Biometrics Theory, Applications and Systems (BTAS 2019)
EditorsAllan Tear, Chanaka Hettige, Kush Agarwal, Gloria G. See, Ken Stauffer, Mario Milicevic, Randi Sumner, Samantha Snabes, Subodha Charles, Susan K (Kathy) Land, Veronica Osinski, Vincenzo Piuri
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages17-24
Number of pages8
ISBN (Electronic)9781728115221
ISBN (Print)9781728115238
DOIs
Publication statusPublished - 2019
EventIEEE International Conference on Biometrics - Theory, Applications and Systems (BTAS) 2019 - Tampa, United States of America
Duration: 23 Sept 201926 Sept 2019
Conference number: 10th
https://entrepreneurship.ieee.org/session/6400/ (Website)

Conference

ConferenceIEEE International Conference on Biometrics - Theory, Applications and Systems (BTAS) 2019
Abbreviated titleBTAS 2019
Country/TerritoryUnited States of America
CityTampa
Period23/09/1926/09/19
Internet address

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