An Improved Privacy-Preserving Biometric Identification Scheme in Cloud Computing

Kai HUANG; Ming XU; Shaojing FU; Yuchuan LUO

doi:10.1587/transfun.E99.A.1891

An Improved Privacy-Preserving Biometric Identification Scheme in Cloud Computing

Kai HUANG, Ming XU, Shaojing FU, Yuchuan LUO

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In a previous work [1], Wang et al. proposed a privacy-preserving outsourcing scheme for biometric identification in cloud computing, namely CloudBI. The author claimed that it can resist against various known attacks. However, there exist serious security flaws in their scheme, and it can be completely broken through a small number of constructed identification requests. In this letter, we modify the encryption scheme and propose an improved version of the privacy-preserving biometric identification design which can resist such attack and can provide a much higher level of security.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E99-A No.10 pp.1891-1894

Publication Date: 2016/10/01

Publicized

Online ISSN: 1745-1337

DOI: 10.1587/transfun.E99.A.1891

Type of Manuscript: LETTER

Category: Cryptography and Information Security

Authors

Kai HUANG
  National University of Defense Technology
Ming XU
  National University of Defense Technology
Shaojing FU
  National University of Defense Technology,State Key Laboratory of Cryptology
Yuchuan LUO
  National University of Defense Technology

Keyword

improved scheme, privacy-preserving, biometric identification, cloud computing

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Kai HUANG, Ming XU, Shaojing FU, Yuchuan LUO, "An Improved Privacy-Preserving Biometric Identification Scheme in Cloud Computing" in IEICE TRANSACTIONS on Fundamentals, vol. E99-A, no. 10, pp. 1891-1894, October 2016, doi: 10.1587/transfun.E99.A.1891.
Abstract: In a previous work [1], Wang et al. proposed a privacy-preserving outsourcing scheme for biometric identification in cloud computing, namely CloudBI. The author claimed that it can resist against various known attacks. However, there exist serious security flaws in their scheme, and it can be completely broken through a small number of constructed identification requests. In this letter, we modify the encryption scheme and propose an improved version of the privacy-preserving biometric identification design which can resist such attack and can provide a much higher level of security.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1587/transfun.E99.A.1891/_p

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@ARTICLE{e99-a_10_1891,
author={Kai HUANG, Ming XU, Shaojing FU, Yuchuan LUO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={An Improved Privacy-Preserving Biometric Identification Scheme in Cloud Computing},
year={2016},
volume={E99-A},
number={10},
pages={1891-1894},
abstract={In a previous work [1], Wang et al. proposed a privacy-preserving outsourcing scheme for biometric identification in cloud computing, namely CloudBI. The author claimed that it can resist against various known attacks. However, there exist serious security flaws in their scheme, and it can be completely broken through a small number of constructed identification requests. In this letter, we modify the encryption scheme and propose an improved version of the privacy-preserving biometric identification design which can resist such attack and can provide a much higher level of security.},
keywords={},
doi={10.1587/transfun.E99.A.1891},
ISSN={1745-1337},
month={October},}

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TY - JOUR
TI - An Improved Privacy-Preserving Biometric Identification Scheme in Cloud Computing
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1891
EP - 1894
AU - Kai HUANG
AU - Ming XU
AU - Shaojing FU
AU - Yuchuan LUO
PY - 2016
DO - 10.1587/transfun.E99.A.1891
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E99-A
IS - 10
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - October 2016
AB - In a previous work [1], Wang et al. proposed a privacy-preserving outsourcing scheme for biometric identification in cloud computing, namely CloudBI. The author claimed that it can resist against various known attacks. However, there exist serious security flaws in their scheme, and it can be completely broken through a small number of constructed identification requests. In this letter, we modify the encryption scheme and propose an improved version of the privacy-preserving biometric identification design which can resist such attack and can provide a much higher level of security.
ER -