Fuzzy public-key encryption based on biometric data

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

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

3 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 languageEnglish
Title of host publicationProvable Security - 11th International Conference, ProvSec 2017, Proceedings
PublisherSpringer Verlag
Pages400-409
Number of pages10
ISBN (Print)9783319686363
DOIs
Publication statusPublished - 1 Jan 2017
Event11th International Conference on Provable Security, ProvSec 2017 - Xi'an, China
Duration: 23 Oct 201725 Oct 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10592 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th International Conference on Provable Security, ProvSec 2017
Country/TerritoryChina
CityXi'an
Period23/10/1725/10/17

Keywords

  • Biometric input
  • Fuzzy data
  • Fuzzy public-key encryption

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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