Logo des Repositoriums
 

Correlation-resistant fuzzy vault for fingerprints

dc.contributor.authorButt, Moazzam
dc.contributor.authorMerkle, Johannes
dc.contributor.authorKorte, Ulrike
dc.contributor.authorBusch, Christoph
dc.contributor.editorMeier, Michael
dc.contributor.editorReinhardt, Delphine
dc.contributor.editorWendzel, Steffen
dc.date.accessioned2017-06-21T07:43:28Z
dc.date.available2017-06-21T07:43:28Z
dc.date.issued2016
dc.description.abstractThe fuzzy vault is one of the most popular biometric encryption schemes for protecting fingerprint data. However, its implementation faces two challenges: First, the fingerprints need to be aligned. Some publications have proposed the storage of auxiliary data to assist alignment, but these data may leak information about the biometric features. Secondly, the fuzzy vault is susceptible to attacks that correlate the data from two protected templates, which does not only violate the requirement of unlinkability but also allows the recovery of the biometric data. In this work, we present a fuzzy vault construction for fingerprint data (minutiae) that addresses both issues. We do so by applying an absolute alignment method to the fingerprints, performing a quantization of the minutiae positions to a grid, and using all grid points unoccupied by minutiae as chaff. This approach results in all vaults containing the same set of points. In order to improve recognition performance, we also use the minutiae's angles and types. We present experimental evaluations and compare the results with the existing works on fuzzy fingerprint vault.en
dc.identifier.isbn978-3-88579-650-3
dc.identifier.pissn1617-5468
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofSicherheit 2016 - Sicherheit, Schutz und Zuverlässigkeit
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-256
dc.titleCorrelation-resistant fuzzy vault for fingerprintsen
dc.typeText/Conference Paper
gi.citation.endPage136
gi.citation.publisherPlaceBonn
gi.citation.startPage125
gi.conference.date5.-7. April 2016
gi.conference.locationBonn

Dateien

Originalbündel
1 - 1 von 1
Lade...
Vorschaubild
Name:
125.pdf
Größe:
236.6 KB
Format:
Adobe Portable Document Format