Privacy-preserving fuzzy commitment for biometrics via layered error-correcting codes

Masaya Yasuda, Takeshi Shimoyama, Narishige Abe, Shigefumi Yamada, Takashi Shinzaki, Takeshi Koshiba

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

With the widespread development of biometrics, concerns about security and privacy are increasing. In biometrics, template protection technology aims to protect the confidentiality of biometric templates (i.e., enrolled biometric data) by certain conversion. The fuzzy commitment scheme gives a practical way to protect biometric templates using a conventional error-correcting code. The scheme has both concealing and binding of templates, but it has some privacy problems. Specifically, in case of successful matching, stored biometric templates can be revealed. To address such problems, we improve the scheme. Our improvement is to coat with two error-correcting codes. In particular, our scheme can conceal stored biometric templates even in successful matching. Our improved scheme requires just conventional error-correcting codes as in the original scheme, and hence it gives a practical solution for both template security and privacy of biometric templates.

Original languageEnglish
Title of host publicationFoundations and Practice of Security - 8th International Symposium, FPS 2015, Revised Selected Papers
PublisherSpringer Verlag
Pages117-133
Number of pages17
Volume9482
ISBN (Print)9783319303024
DOIs
Publication statusPublished - 2016
Externally publishedYes
Event8th International Symposium on Foundations and Practice of Security, FPS 2015 - Clermont-Ferrand, France
Duration: 2015 Oct 262015 Oct 28

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9482
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other8th International Symposium on Foundations and Practice of Security, FPS 2015
CountryFrance
CityClermont-Ferrand
Period15/10/2615/10/28

Fingerprint

Error-correcting Codes
Privacy Preserving
Biometrics
Template
Privacy
Commitment
Confidentiality

Keywords

  • Biometric template protection
  • Errorcorrecting codes
  • Fuzzy commitment

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Yasuda, M., Shimoyama, T., Abe, N., Yamada, S., Shinzaki, T., & Koshiba, T. (2016). Privacy-preserving fuzzy commitment for biometrics via layered error-correcting codes. In Foundations and Practice of Security - 8th International Symposium, FPS 2015, Revised Selected Papers (Vol. 9482, pp. 117-133). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9482). Springer Verlag. https://doi.org/10.1007/978-3-319-30303-1_8

Privacy-preserving fuzzy commitment for biometrics via layered error-correcting codes. / Yasuda, Masaya; Shimoyama, Takeshi; Abe, Narishige; Yamada, Shigefumi; Shinzaki, Takashi; Koshiba, Takeshi.

Foundations and Practice of Security - 8th International Symposium, FPS 2015, Revised Selected Papers. Vol. 9482 Springer Verlag, 2016. p. 117-133 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9482).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Yasuda, M, Shimoyama, T, Abe, N, Yamada, S, Shinzaki, T & Koshiba, T 2016, Privacy-preserving fuzzy commitment for biometrics via layered error-correcting codes. in Foundations and Practice of Security - 8th International Symposium, FPS 2015, Revised Selected Papers. vol. 9482, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9482, Springer Verlag, pp. 117-133, 8th International Symposium on Foundations and Practice of Security, FPS 2015, Clermont-Ferrand, France, 15/10/26. https://doi.org/10.1007/978-3-319-30303-1_8
Yasuda M, Shimoyama T, Abe N, Yamada S, Shinzaki T, Koshiba T. Privacy-preserving fuzzy commitment for biometrics via layered error-correcting codes. In Foundations and Practice of Security - 8th International Symposium, FPS 2015, Revised Selected Papers. Vol. 9482. Springer Verlag. 2016. p. 117-133. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-30303-1_8
Yasuda, Masaya ; Shimoyama, Takeshi ; Abe, Narishige ; Yamada, Shigefumi ; Shinzaki, Takashi ; Koshiba, Takeshi. / Privacy-preserving fuzzy commitment for biometrics via layered error-correcting codes. Foundations and Practice of Security - 8th International Symposium, FPS 2015, Revised Selected Papers. Vol. 9482 Springer Verlag, 2016. pp. 117-133 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{251c30e261f745a8aa502d1ead0d04b4,
title = "Privacy-preserving fuzzy commitment for biometrics via layered error-correcting codes",
abstract = "With the widespread development of biometrics, concerns about security and privacy are increasing. In biometrics, template protection technology aims to protect the confidentiality of biometric templates (i.e., enrolled biometric data) by certain conversion. The fuzzy commitment scheme gives a practical way to protect biometric templates using a conventional error-correcting code. The scheme has both concealing and binding of templates, but it has some privacy problems. Specifically, in case of successful matching, stored biometric templates can be revealed. To address such problems, we improve the scheme. Our improvement is to coat with two error-correcting codes. In particular, our scheme can conceal stored biometric templates even in successful matching. Our improved scheme requires just conventional error-correcting codes as in the original scheme, and hence it gives a practical solution for both template security and privacy of biometric templates.",
keywords = "Biometric template protection, Errorcorrecting codes, Fuzzy commitment",
author = "Masaya Yasuda and Takeshi Shimoyama and Narishige Abe and Shigefumi Yamada and Takashi Shinzaki and Takeshi Koshiba",
year = "2016",
doi = "10.1007/978-3-319-30303-1_8",
language = "English",
isbn = "9783319303024",
volume = "9482",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "117--133",
booktitle = "Foundations and Practice of Security - 8th International Symposium, FPS 2015, Revised Selected Papers",
address = "Germany",

}

TY - GEN

T1 - Privacy-preserving fuzzy commitment for biometrics via layered error-correcting codes

AU - Yasuda, Masaya

AU - Shimoyama, Takeshi

AU - Abe, Narishige

AU - Yamada, Shigefumi

AU - Shinzaki, Takashi

AU - Koshiba, Takeshi

PY - 2016

Y1 - 2016

N2 - With the widespread development of biometrics, concerns about security and privacy are increasing. In biometrics, template protection technology aims to protect the confidentiality of biometric templates (i.e., enrolled biometric data) by certain conversion. The fuzzy commitment scheme gives a practical way to protect biometric templates using a conventional error-correcting code. The scheme has both concealing and binding of templates, but it has some privacy problems. Specifically, in case of successful matching, stored biometric templates can be revealed. To address such problems, we improve the scheme. Our improvement is to coat with two error-correcting codes. In particular, our scheme can conceal stored biometric templates even in successful matching. Our improved scheme requires just conventional error-correcting codes as in the original scheme, and hence it gives a practical solution for both template security and privacy of biometric templates.

AB - With the widespread development of biometrics, concerns about security and privacy are increasing. In biometrics, template protection technology aims to protect the confidentiality of biometric templates (i.e., enrolled biometric data) by certain conversion. The fuzzy commitment scheme gives a practical way to protect biometric templates using a conventional error-correcting code. The scheme has both concealing and binding of templates, but it has some privacy problems. Specifically, in case of successful matching, stored biometric templates can be revealed. To address such problems, we improve the scheme. Our improvement is to coat with two error-correcting codes. In particular, our scheme can conceal stored biometric templates even in successful matching. Our improved scheme requires just conventional error-correcting codes as in the original scheme, and hence it gives a practical solution for both template security and privacy of biometric templates.

KW - Biometric template protection

KW - Errorcorrecting codes

KW - Fuzzy commitment

UR - http://www.scopus.com/inward/record.url?scp=84960460316&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84960460316&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-30303-1_8

DO - 10.1007/978-3-319-30303-1_8

M3 - Conference contribution

AN - SCOPUS:84960460316

SN - 9783319303024

VL - 9482

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 117

EP - 133

BT - Foundations and Practice of Security - 8th International Symposium, FPS 2015, Revised Selected Papers

PB - Springer Verlag

ER -