Fuzzy public-key encryption based on biometric data

Hui Cui; Man Ho Au; Baodong Qin; Robert H. Deng; Xun Yi

doi:10.1007/978-3-319-68637-0_24

Fuzzy public-key encryption based on biometric data

Hui Cui
, Man Ho Au
, Baodong Qin
, Robert H. Deng
, Xun Yi

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

5 Citations (Scopus)

Abstract

Biometric data is an inherent representation of a human user, and it would be highly desirable to derive a private key of a public-key cryptographic scheme from a user’s biometric input such that the user does not need to remember any password or carry any device to store the private key and is able to enjoy all benefits of the public-key cryptographic scheme. In this paper, we introduce a notion called fuzzy public-key encryption (FPKE), which is a public-key encryption (PKE) scheme that accepts a piece of fuzzy data (i.e., a noisy version of the original biometric data) as the private key to decrypt the ciphertext. Compared to the traditional PKE scheme where a private key is usually stored in a device (e.g., a USB token), an FPKE scheme does not need to use any device for the storage of the private key. We first define a formal security model for FPKE, and then give generic constructions of FPKE based on the cryptographic primitives of linear sketch and PKE with some special properties.

Original language	English
Title of host publication	Provable Security - 11th International Conference, ProvSec 2017 Xi’an, China, October 23–25, 2017 Proceedings
Editors	Tatsuaki Okamoto, Yong Yu, Man Ho Au, Yannan Li
Place of Publication	Cham Switzerland
Publisher	Springer
Pages	400-409
Number of pages	10
ISBN (Electronic)	9783319686370
ISBN (Print)	9783319686363
DOIs	https://doi.org/10.1007/978-3-319-68637-0_24
Publication status	Published - 2017
Externally published	Yes
Event	International Conference on Provable Security 2017 - Xi'an, China Duration: 23 Oct 2017 → 25 Oct 2017 Conference number: 11th https://www.anslab.org/events/PROVSEC17/index.html https://link.springer.com/book/10.1007/978-3-319-68637-0 (Proceedings)

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	10592
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	International Conference on Provable Security 2017
Abbreviated title	ProvSec 2017
Country/Territory	China
City	Xi'an
Period	23/10/17 → 25/10/17
Internet address	https://www.anslab.org/events/PROVSEC17/index.html https://link.springer.com/book/10.1007/978-3-319-68637-0 (Proceedings)

Keywords

Biometric input
Fuzzy data
Fuzzy public-key encryption

Access to Document

10.1007/978-3-319-68637-0_24

Cite this

Cui, H., Au, M. H., Qin, B., Deng, R. H., & Yi, X. (2017). Fuzzy public-key encryption based on biometric data. In T. Okamoto, Y. Yu, M. H. Au, & Y. Li (Eds.), Provable Security - 11th International Conference, ProvSec 2017 Xi’an, China, October 23–25, 2017 Proceedings (pp. 400-409). (Lecture Notes in Computer Science; Vol. 10592). Springer. https://doi.org/10.1007/978-3-319-68637-0_24

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title = "Fuzzy public-key encryption based on biometric data",

abstract = "Biometric data is an inherent representation of a human user, and it would be highly desirable to derive a private key of a public-key cryptographic scheme from a user{\textquoteright}s biometric input such that the user does not need to remember any password or carry any device to store the private key and is able to enjoy all benefits of the public-key cryptographic scheme. In this paper, we introduce a notion called fuzzy public-key encryption (FPKE), which is a public-key encryption (PKE) scheme that accepts a piece of fuzzy data (i.e., a noisy version of the original biometric data) as the private key to decrypt the ciphertext. Compared to the traditional PKE scheme where a private key is usually stored in a device (e.g., a USB token), an FPKE scheme does not need to use any device for the storage of the private key. We first define a formal security model for FPKE, and then give generic constructions of FPKE based on the cryptographic primitives of linear sketch and PKE with some special properties.",

keywords = "Biometric input, Fuzzy data, Fuzzy public-key encryption",

author = "Hui Cui and Au, \{Man Ho\} and Baodong Qin and Deng, \{Robert H.\} and Xun Yi",

note = "Publisher Copyright: {\textcopyright} 2017, Springer International Publishing AG.; International Conference on Provable Security 2017, ProvSec 2017 ; Conference date: 23-10-2017 Through 25-10-2017",

year = "2017",

doi = "10.1007/978-3-319-68637-0\_24",

language = "English",

isbn = "9783319686363",

series = "Lecture Notes in Computer Science",

publisher = "Springer",

pages = "400--409",

editor = "Tatsuaki Okamoto and Yong Yu and Au, \{Man Ho\} and Yannan Li",

booktitle = "Provable Security - 11th International Conference, ProvSec 2017 Xi{\textquoteright}an, China, October 23–25, 2017 Proceedings",

address = "Switzerland",

url = "https://www.anslab.org/events/PROVSEC17/index.html, https://link.springer.com/book/10.1007/978-3-319-68637-0",

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Cui, H, Au, MH, Qin, B, Deng, RH & Yi, X 2017, Fuzzy public-key encryption based on biometric data. in T Okamoto, Y Yu, MH Au & Y Li (eds), Provable Security - 11th International Conference, ProvSec 2017 Xi’an, China, October 23–25, 2017 Proceedings. Lecture Notes in Computer Science, vol. 10592, Springer, Cham Switzerland, pp. 400-409, International Conference on Provable Security 2017, Xi'an, China, 23/10/17. https://doi.org/10.1007/978-3-319-68637-0_24

Fuzzy public-key encryption based on biometric data. / Cui, Hui; Au, Man Ho; Qin, Baodong et al.
Provable Security - 11th International Conference, ProvSec 2017 Xi’an, China, October 23–25, 2017 Proceedings. ed. / Tatsuaki Okamoto; Yong Yu; Man Ho Au; Yannan Li. Cham Switzerland: Springer, 2017. p. 400-409 (Lecture Notes in Computer Science; Vol. 10592).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

TY - GEN

T1 - Fuzzy public-key encryption based on biometric data

AU - Cui, Hui

AU - Au, Man Ho

AU - Qin, Baodong

AU - Deng, Robert H.

AU - Yi, Xun

N1 - Conference code: 11th

PY - 2017

Y1 - 2017

N2 - Biometric data is an inherent representation of a human user, and it would be highly desirable to derive a private key of a public-key cryptographic scheme from a user’s biometric input such that the user does not need to remember any password or carry any device to store the private key and is able to enjoy all benefits of the public-key cryptographic scheme. In this paper, we introduce a notion called fuzzy public-key encryption (FPKE), which is a public-key encryption (PKE) scheme that accepts a piece of fuzzy data (i.e., a noisy version of the original biometric data) as the private key to decrypt the ciphertext. Compared to the traditional PKE scheme where a private key is usually stored in a device (e.g., a USB token), an FPKE scheme does not need to use any device for the storage of the private key. We first define a formal security model for FPKE, and then give generic constructions of FPKE based on the cryptographic primitives of linear sketch and PKE with some special properties.

AB - Biometric data is an inherent representation of a human user, and it would be highly desirable to derive a private key of a public-key cryptographic scheme from a user’s biometric input such that the user does not need to remember any password or carry any device to store the private key and is able to enjoy all benefits of the public-key cryptographic scheme. In this paper, we introduce a notion called fuzzy public-key encryption (FPKE), which is a public-key encryption (PKE) scheme that accepts a piece of fuzzy data (i.e., a noisy version of the original biometric data) as the private key to decrypt the ciphertext. Compared to the traditional PKE scheme where a private key is usually stored in a device (e.g., a USB token), an FPKE scheme does not need to use any device for the storage of the private key. We first define a formal security model for FPKE, and then give generic constructions of FPKE based on the cryptographic primitives of linear sketch and PKE with some special properties.

KW - Biometric input

KW - Fuzzy data

KW - Fuzzy public-key encryption

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DO - 10.1007/978-3-319-68637-0_24

M3 - Conference Paper

AN - SCOPUS:85032654917

SN - 9783319686363

T3 - Lecture Notes in Computer Science

SP - 400

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A2 - Okamoto, Tatsuaki

A2 - Yu, Yong

A2 - Au, Man Ho

A2 - Li, Yannan

PB - Springer

CY - Cham Switzerland

T2 - International Conference on Provable Security 2017

Y2 - 23 October 2017 through 25 October 2017

ER -

Fuzzy public-key encryption based on biometric data

Abstract

Publication series

Conference

Keywords

Access to Document

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Cite this