Authentication system using encrypted discrete biometrics data

Kazuo Ohzeki, Yuan Yu Wei, Masaaki Kajihara, Masahiro Takatsuka, Yutaka Hirakawa, Toru Sugimoto

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

3 Citations (Scopus)

Abstract

Biometric authentication has attracted attention because it has different characteristics from passwords. Biometric inputs are analog data and have a fixed fluctuation. Digitization is one possible measure to cope with the problems. Widening the quantization in step-size fashion to discriminate a personal distance is another possible measure. This paper proposes a biometric authentication system integrating these two measures. As biometric data are private, they are encrypted and saved on a server. Even if the server is attacked and the data are leaked, the private information concerning the biometric data is kept secret.

Original languageEnglish
Title of host publicationTrust and Trustworthy Computing - 7th International Conference, TRUST 2014, Proceedings
PublisherSpringer Verlag
Pages210-211
Number of pages2
ISBN (Print)9783319085920
DOIs
Publication statusPublished - 2014 Jan 1
Event7th International Conference on Trust and Trustworthy Computing, TRUST 2014 - Heraklion, Crete, Greece
Duration: 2014 Jun 302014 Jul 2

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8564 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th International Conference on Trust and Trustworthy Computing, TRUST 2014
CountryGreece
CityHeraklion, Crete
Period14/6/3014/7/2

Keywords

  • authentication
  • biometrics
  • leakage
  • password
  • privacy

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Ohzeki, K., Wei, Y. Y., Kajihara, M., Takatsuka, M., Hirakawa, Y., & Sugimoto, T. (2014). Authentication system using encrypted discrete biometrics data. In Trust and Trustworthy Computing - 7th International Conference, TRUST 2014, Proceedings (pp. 210-211). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8564 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-08593-7_16