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dc.contributor.authorBauspieß, Pia
dc.contributor.authorZok, Chiara-Marie
dc.contributor.authorCostache, Anamaria
dc.contributor.authorRathgeb, Christian
dc.contributor.authorKolberg, Jascha
dc.contributor.authorBusch, Christoph
dc.date.accessioned2024-04-16T08:47:55Z
dc.date.available2024-04-16T08:47:55Z
dc.date.created2024-04-09T15:03:29Z
dc.date.issued2023
dc.identifier.citationIEEE International Workshop on Information Forensics and Security (WIFS). 2023, .en_US
dc.identifier.issn2157-4766
dc.identifier.urihttps://hdl.handle.net/11250/3126716
dc.description.abstractReliable authentication of individuals is the foundation of trusted digital interaction. Biometrics lend themselves ideally to this goal. However, biometric data must be protected under computation according to European laws and international standards. Over the past ten years, fully homomorphic encryption has become a popular tool for biometric template protection. However, it comes with the security risk of cryptographic key material, which requires careful management and could be leaked, leaving the stored templates vulnerable to attacks. To meet this challenge, we present the novel MT-PRO protocol utilising homomorphic transciphering to improve the security of such systems against offline decryption attacks. Our protocol does not impair the biometric performance and allows for multi-biometric comparisons of fixed-length feature representations. Furthermore, we evaluated our protocol on public data sets with open-source implementation available at https://github.com/dasec/MT-PRO and discuss its real-world application potential.en_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleMT-PRO: Multibiometric Template Protection Based On Homomorphic Transcipheringen_US
dc.title.alternativeMT-PRO: Multibiometric Template Protection Based On Homomorphic Transcipheringen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionacceptedVersionen_US
dc.rights.holder© Copyright 2023 IEEE - All rights reserved.en_US
dc.source.pagenumber6en_US
dc.source.journalIEEE International Workshop on Information Forensics and Security (WIFS)en_US
dc.identifier.doi10.1109/WIFS58808.2023.10374697
dc.identifier.cristin2260357
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal