Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/74380
Title: Fuzzy public-key encryption based on biometric data
Authors: Cui, H
Au, MH 
Qin, B
Deng, RH
Yi, X
Keywords: Biometric input
Fuzzy data
Fuzzy public-key encryption
Issue Date: 2017
Publisher: Springer
Source: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), 2017, v. 10592, p. 400-409 How to cite?
Journal: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics) 
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.
Description: 11th International Conference on Provable Security, ProvSec 2017, 23 - 25 October 2017
URI: http://hdl.handle.net/10397/74380
ISBN: 9783319686363
ISSN: 0302-9743
EISSN: 1611-3349
DOI: 10.1007/978-3-319-68637-0_24
Appears in Collections:Conference Paper

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

1
Last Week
0
Last month
Citations as of Jul 13, 2018

Page view(s)

6
Last Week
0
Last month
Citations as of Jul 15, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.