Fuzzy Vector Signature and Its Application to Privacy-Preserving Authentication
Fuzzy authentication uses non-deterministic or noisy data, like biometrics, as an authentication factor. Although the data is extracted from the same individual or source, it can be different for each measurement. As a result, one of the main issues in fuzzy authentication is the effective processin...
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IEEE
2019-01-01
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Series: | IEEE Access |
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Online Access: | https://ieeexplore.ieee.org/document/8723318/ |
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author | Minhye Seo Jung Yeon Hwang Dong Hoon Lee Soohyung Kim Seung-Hyun Kim Jong Hwan Park |
author_facet | Minhye Seo Jung Yeon Hwang Dong Hoon Lee Soohyung Kim Seung-Hyun Kim Jong Hwan Park |
author_sort | Minhye Seo |
collection | DOAJ |
description | Fuzzy authentication uses non-deterministic or noisy data, like biometrics, as an authentication factor. Although the data is extracted from the same individual or source, it can be different for each measurement. As a result, one of the main issues in fuzzy authentication is the effective processing of the fuzziness, while guaranteeing the privacy of the fuzzy data. Biometric data is a typical user-generated fuzzy data and the fuzzy extractor is one of the most promising primitives for biometric authentication these days. In 2016, Canetti et al. proposed the reusable fuzzy extractor, in which multiple keys can be generated with the same biometric data. It can also handle some outliers which occur unexpectedly (owing to an external interference when acquiring the fuzzy data, for example, the presence of dust on a fingerprint image). However, the size of the user's helper data in the reusable fuzzy extractor is quite large. This makes the network bandwidth usage required in the online authentication phase (or the storage required on the user side) considerable, which inconveniences the user. In this paper, we present a new primitive for fuzzy authentication, called a fuzzy vector signature (FVS) scheme, which significantly alleviates the burden on the user side. This means that the network bandwidth usage (or the amount of storage required on the user side) is significantly reduced. The proposed FVS scheme is reusable and robust to outliers as well. Finally, we provide a privacy-preserving fuzzy authentication protocol based on the FVS scheme. |
first_indexed | 2024-12-16T17:59:45Z |
format | Article |
id | doaj.art-b86eb9b270594a9ebe7e2a1519c52aa0 |
institution | Directory Open Access Journal |
issn | 2169-3536 |
language | English |
last_indexed | 2024-12-16T17:59:45Z |
publishDate | 2019-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Access |
spelling | doaj.art-b86eb9b270594a9ebe7e2a1519c52aa02022-12-21T22:22:05ZengIEEEIEEE Access2169-35362019-01-017698926990610.1109/ACCESS.2019.29193518723318Fuzzy Vector Signature and Its Application to Privacy-Preserving AuthenticationMinhye Seo0https://orcid.org/0000-0002-7155-3919Jung Yeon Hwang1Dong Hoon Lee2https://orcid.org/0000-0003-0692-2543Soohyung Kim3Seung-Hyun Kim4Jong Hwan Park5Center for Information Security Technologies, Korea University, Seoul, South KoreaElectronics and Telecommunications Research Institute, Daejeon, South KoreaCenter for Information Security Technologies, Korea University, Seoul, South KoreaElectronics and Telecommunications Research Institute, Daejeon, South KoreaElectronics and Telecommunications Research Institute, Daejeon, South KoreaDepartment of Computer Science, Sangmyung University, Seoul, South KoreaFuzzy authentication uses non-deterministic or noisy data, like biometrics, as an authentication factor. Although the data is extracted from the same individual or source, it can be different for each measurement. As a result, one of the main issues in fuzzy authentication is the effective processing of the fuzziness, while guaranteeing the privacy of the fuzzy data. Biometric data is a typical user-generated fuzzy data and the fuzzy extractor is one of the most promising primitives for biometric authentication these days. In 2016, Canetti et al. proposed the reusable fuzzy extractor, in which multiple keys can be generated with the same biometric data. It can also handle some outliers which occur unexpectedly (owing to an external interference when acquiring the fuzzy data, for example, the presence of dust on a fingerprint image). However, the size of the user's helper data in the reusable fuzzy extractor is quite large. This makes the network bandwidth usage required in the online authentication phase (or the storage required on the user side) considerable, which inconveniences the user. In this paper, we present a new primitive for fuzzy authentication, called a fuzzy vector signature (FVS) scheme, which significantly alleviates the burden on the user side. This means that the network bandwidth usage (or the amount of storage required on the user side) is significantly reduced. The proposed FVS scheme is reusable and robust to outliers as well. Finally, we provide a privacy-preserving fuzzy authentication protocol based on the FVS scheme.https://ieeexplore.ieee.org/document/8723318/Biometric authenticationfuzzy vector signatureoutlierprivacyreusability |
spellingShingle | Minhye Seo Jung Yeon Hwang Dong Hoon Lee Soohyung Kim Seung-Hyun Kim Jong Hwan Park Fuzzy Vector Signature and Its Application to Privacy-Preserving Authentication IEEE Access Biometric authentication fuzzy vector signature outlier privacy reusability |
title | Fuzzy Vector Signature and Its Application to Privacy-Preserving Authentication |
title_full | Fuzzy Vector Signature and Its Application to Privacy-Preserving Authentication |
title_fullStr | Fuzzy Vector Signature and Its Application to Privacy-Preserving Authentication |
title_full_unstemmed | Fuzzy Vector Signature and Its Application to Privacy-Preserving Authentication |
title_short | Fuzzy Vector Signature and Its Application to Privacy-Preserving Authentication |
title_sort | fuzzy vector signature and its application to privacy preserving authentication |
topic | Biometric authentication fuzzy vector signature outlier privacy reusability |
url | https://ieeexplore.ieee.org/document/8723318/ |
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