Authentication system using encrypted discrete biometrics data

Kazuo Ohzeki, YuanYu Wei, Masaaki Kajihara, Masahiro Takatsuka, Yutaka Hirakawa, Tooru 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 publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages210-211
Number of pages2
Volume8564 LNCS
ISBN (Print)9783319085920
DOIs
Publication statusPublished - 2014
Event7th International Conference on Trust and Trustworthy Computing, TRUST 2014 - Heraklion, Crete
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)03029743
ISSN (Electronic)16113349

Other

Other7th International Conference on Trust and Trustworthy Computing, TRUST 2014
CityHeraklion, Crete
Period14/6/3014/7/2

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Keywords

  • authentication
  • biometrics
  • leakage
  • password
  • privacy

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Ohzeki, K., Wei, Y., Kajihara, M., Takatsuka, M., Hirakawa, Y., & Sugimoto, T. (2014). Authentication system using encrypted discrete biometrics data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8564 LNCS, 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