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Uncertainty in Biometric Identification and Authentication Systems with Strong Secrecy
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Information Science and Engineering. (KTH Digital Future Center)ORCID iD: 0000-0003-2253-943x
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Information Science and Engineering. (KTH Digital Future Center)ORCID iD: 0000-0002-0036-9049
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Information Science and Engineering. (KTH Digital Future Center)ORCID iD: 0000-0002-7926-5081
2022 (English)Conference paper, Published paper (Refereed)
Abstract [en]

In this work, we study the uncertainty aspects in bio-metric identification and authentication systems. The uncertainty lies in two aspects, i.e., the probability mass function (p.m.f.) of users' biometric information and the observation channel. For the p.m.f. of users' biometrics, it is assumed that the users are from different groups and the distribution of each group is determined by the state. For the observation channel, it is assumed that there is a set of channels and the actual observation channel is from this set. 

Place, publisher, year, edition, pages
Monticello, IL, USA: Institute of Electrical and Electronics Engineers (IEEE) , 2022.
Keywords [en]
Biometric identification, authentication, privacy, secrecy, uncertainty
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-321142DOI: 10.1109/Allerton49937.2022.9929316ISI: 000895747000002Scopus ID: 2-s2.0-85142651656OAI: oai:DiVA.org:kth-321142DiVA, id: diva2:1708911
Conference
2022 58th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 27-30 September 2022
Note

Part of proceedings ISBN 979-8-3503-9998-1

QC 20221109

Available from: 2022-11-07 Created: 2022-11-07 Last updated: 2023-01-30Bibliographically approved

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fulltext(251 kB)516 downloads
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Zhou, LinghuiOechtering, Tobias J.Skoglund, Mikael

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CiteExportLink to record
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Citation style
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