A new framework for privacy-preserving biometric-based remote user authentication

A new framework for privacy-preserving biometric-based remote user authentication

In this paper, we introduce the first general framework for strong privacy-preserving biometric-based remote user authentication based on oblivious RAM (ORAM) protocol and computational fuzzy extractors. We define formal security models for the general framework, and we prove that it can achieve use...

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Main Authors: TIAN, Yangguang, LI, Yingjiu, DENG, Robert H., LI, Nan, WU, Pengfei, LIU, Anyi
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2020
Subjects:
Remote user authentication
oblivious RAM
computational fuzzy extractors
strong privacy
constant bandwidth
Information Security
Online Access:https://ink.library.smu.edu.sg/sis_research/5305
https://ink.library.smu.edu.sg/context/sis_research/article/6308/viewcontent/New_framework_for_privacy_preserving_biometric_based_rua_av.pdf
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Institution: Singapore Management University
Language: English
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spelling sg-smu-ink.sis_research-63082020-10-08T05:24:07Z A new framework for privacy-preserving biometric-based remote user authentication TIAN, Yangguang LI, Yingjiu DENG, Robert H. LI, Nan WU, Pengfei LIU, Anyi In this paper, we introduce the first general framework for strong privacy-preserving biometric-based remote user authentication based on oblivious RAM (ORAM) protocol and computational fuzzy extractors. We define formal security models for the general framework, and we prove that it can achieve user authenticity and strong privacy. In particular, the general framework ensures that: (1) a strong privacy and a log-linear time-complexity are achieved by using a new tree-based ORAM protocol; (2) a constant bandwidth cost is achieved by exploiting computational fuzzy extractors in the challenge-response phase of remote user authentications. 2020-06-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/5305 info:doi/10.3233/JCS-191336 https://ink.library.smu.edu.sg/context/sis_research/article/6308/viewcontent/New_framework_for_privacy_preserving_biometric_based_rua_av.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Remote user authentication oblivious RAM computational fuzzy extractors strong privacy constant bandwidth Information Security
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Remote user authentication
oblivious RAM
computational fuzzy extractors
strong privacy
constant bandwidth
Information Security
spellingShingle Remote user authentication
oblivious RAM
computational fuzzy extractors
strong privacy
constant bandwidth
Information Security
TIAN, Yangguang
LI, Yingjiu
DENG, Robert H.
LI, Nan
WU, Pengfei
LIU, Anyi
A new framework for privacy-preserving biometric-based remote user authentication
description In this paper, we introduce the first general framework for strong privacy-preserving biometric-based remote user authentication based on oblivious RAM (ORAM) protocol and computational fuzzy extractors. We define formal security models for the general framework, and we prove that it can achieve user authenticity and strong privacy. In particular, the general framework ensures that: (1) a strong privacy and a log-linear time-complexity are achieved by using a new tree-based ORAM protocol; (2) a constant bandwidth cost is achieved by exploiting computational fuzzy extractors in the challenge-response phase of remote user authentications.
format text
author TIAN, Yangguang
LI, Yingjiu
DENG, Robert H.
LI, Nan
WU, Pengfei
LIU, Anyi
author_facet TIAN, Yangguang
LI, Yingjiu
DENG, Robert H.
LI, Nan
WU, Pengfei
LIU, Anyi
author_sort TIAN, Yangguang
title A new framework for privacy-preserving biometric-based remote user authentication
title_short A new framework for privacy-preserving biometric-based remote user authentication
title_full A new framework for privacy-preserving biometric-based remote user authentication
title_fullStr A new framework for privacy-preserving biometric-based remote user authentication
title_full_unstemmed A new framework for privacy-preserving biometric-based remote user authentication
title_sort new framework for privacy-preserving biometric-based remote user authentication
publisher Institutional Knowledge at Singapore Management University
publishDate 2020
url https://ink.library.smu.edu.sg/sis_research/5305
https://ink.library.smu.edu.sg/context/sis_research/article/6308/viewcontent/New_framework_for_privacy_preserving_biometric_based_rua_av.pdf
_version_ 1770575396697276416

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