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Seeded Ising Model and Distributed Biometric Template Storage and Matching
It is known that a variant of Ising model, called Seeded Ising Model, can be used to recover the information content of a biometric template from a fraction of information therein. The method consists in reconstructing the whole template, which is called the intruder template in this paper, using on...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8303195/ https://www.ncbi.nlm.nih.gov/pubmed/34356389 http://dx.doi.org/10.3390/e23070849 |
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author | Choi, Hyeong In Lee, Sungjin Moon, Hwan Pyo Wee, Nam-Sook Kim, Daehoon Kwon, Song-Hwa |
author_facet | Choi, Hyeong In Lee, Sungjin Moon, Hwan Pyo Wee, Nam-Sook Kim, Daehoon Kwon, Song-Hwa |
author_sort | Choi, Hyeong In |
collection | PubMed |
description | It is known that a variant of Ising model, called Seeded Ising Model, can be used to recover the information content of a biometric template from a fraction of information therein. The method consists in reconstructing the whole template, which is called the intruder template in this paper, using only a small portion of the given template, a partial template. This reconstruction method may pose a security threat to the integrity of a biometric identity management system. In this paper, based on the Seeded Ising Model, we present a systematic analysis of the possible security breach and its probability of accepting the intruder templates as genuine. Detailed statistical experiments on the intruder match rate are also conducted under various scenarios. In particular, we study (1) how best a template is divided into several small pieces called partial templates, each of which is to be stored in a separate silo; (2) how to do the matching by comparing partial templates in the locked-up silos, and letting only the results of these intra-silo comparisons be sent to the central tallying server for final scoring without requiring the whole templates in one location at any time. |
format | Online Article Text |
id | pubmed-8303195 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-83031952021-07-25 Seeded Ising Model and Distributed Biometric Template Storage and Matching Choi, Hyeong In Lee, Sungjin Moon, Hwan Pyo Wee, Nam-Sook Kim, Daehoon Kwon, Song-Hwa Entropy (Basel) Article It is known that a variant of Ising model, called Seeded Ising Model, can be used to recover the information content of a biometric template from a fraction of information therein. The method consists in reconstructing the whole template, which is called the intruder template in this paper, using only a small portion of the given template, a partial template. This reconstruction method may pose a security threat to the integrity of a biometric identity management system. In this paper, based on the Seeded Ising Model, we present a systematic analysis of the possible security breach and its probability of accepting the intruder templates as genuine. Detailed statistical experiments on the intruder match rate are also conducted under various scenarios. In particular, we study (1) how best a template is divided into several small pieces called partial templates, each of which is to be stored in a separate silo; (2) how to do the matching by comparing partial templates in the locked-up silos, and letting only the results of these intra-silo comparisons be sent to the central tallying server for final scoring without requiring the whole templates in one location at any time. MDPI 2021-07-01 /pmc/articles/PMC8303195/ /pubmed/34356389 http://dx.doi.org/10.3390/e23070849 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Choi, Hyeong In Lee, Sungjin Moon, Hwan Pyo Wee, Nam-Sook Kim, Daehoon Kwon, Song-Hwa Seeded Ising Model and Distributed Biometric Template Storage and Matching |
title | Seeded Ising Model and Distributed Biometric Template Storage and Matching |
title_full | Seeded Ising Model and Distributed Biometric Template Storage and Matching |
title_fullStr | Seeded Ising Model and Distributed Biometric Template Storage and Matching |
title_full_unstemmed | Seeded Ising Model and Distributed Biometric Template Storage and Matching |
title_short | Seeded Ising Model and Distributed Biometric Template Storage and Matching |
title_sort | seeded ising model and distributed biometric template storage and matching |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8303195/ https://www.ncbi.nlm.nih.gov/pubmed/34356389 http://dx.doi.org/10.3390/e23070849 |
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