An enhanced fuzzy commitment scheme in biometric template protection

Biometric template protection consists of two approaches; Feature Transformation (FT) and Biometric Cryptography (BC). This research focuses on Key-Binding Technique based on Fuzzy Commitment Scheme (FCS) under BC approach. In FCS, the helper data should not disclose any information about the biomet...

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Main Author:	Taqiyah Khadijah, Ghazali
Format:	Thesis
Language:	eng eng
Published:	2023
Subjects:	QA76.76 Fuzzy System.
Online Access:	https://etd.uum.edu.my/10637/1/Depositpermission_s901634.pdf https://etd.uum.edu.my/10637/2/s901634_01.pdf
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id	my-uum-etd.10637
record_format	uketd_dc
spelling	my-uum-etd.106372023-08-14T07:27:29Z An enhanced fuzzy commitment scheme in biometric template protection 2023 Taqiyah Khadijah, Ghazali Zakaria, Nur Haryani Maarof, Aizaini Awang Had Salleh Graduate School of Arts & Sciences Awang Had Salleh Graduates School of Arts & Sciences QA76.76 Fuzzy System. Biometric template protection consists of two approaches; Feature Transformation (FT) and Biometric Cryptography (BC). This research focuses on Key-Binding Technique based on Fuzzy Commitment Scheme (FCS) under BC approach. In FCS, the helper data should not disclose any information about the biometric data. However, literatures showed that it had dependency issue in its helper data which jeopardize security and privacy. Moreover, this also increases the probability of privacy leakage which lead to attacks such as brute-force and cross-matching attack. Thus, the aim of this research is to reduce the dependency of helper data that can caused privacy leakage. Three objectives have been set such as (1) to identify the factors that cause dependency on biometric features (2) to enhance FCS by proposing an approach that reduces this dependency, and (3) to evaluate the proposed approach based on parameters such as security, privacy, and biometric performance. This research involved four phases. Phase one, involved research review and analysis, followed by designing conceptual model and algorithm development in phase two and three respectively. Phase four, involved with the evaluation of the proposed approach. The security and privacy analysis shows that with the additional hash function, it is difficult for adversary to perform brute‐force attack on information stored in database. Furthermore, the proposed approach has enhanced the aspect of unlinkability and prevents cross-matching attack. The proposed approach has achieved high accuracy of 95.31% with Equal Error Rate (EER) of 1.54% which performs slightly better by 1.42% compared to the existing approach. This research has contributed towards the key-binding technique of biometric fingerprint template protection, based on FCS. In particular, this research was designed to create a secret binary feature that can be used in other state-of-the-art cryptographic systems by using an appropriate error-correcting approach that meets security standards. 2023 Thesis https://etd.uum.edu.my/10637/ https://etd.uum.edu.my/10637/1/Depositpermission_s901634.pdf text eng staffonly https://etd.uum.edu.my/10637/2/s901634_01.pdf text eng public other doctoral Universiti Utara Malaysia
institution	Universiti Utara Malaysia
collection	UUM ETD
language	eng eng
advisor	Zakaria, Nur Haryani Maarof, Aizaini
topic	QA76.76 Fuzzy System.
spellingShingle	QA76.76 Fuzzy System. Taqiyah Khadijah, Ghazali An enhanced fuzzy commitment scheme in biometric template protection
description	Biometric template protection consists of two approaches; Feature Transformation (FT) and Biometric Cryptography (BC). This research focuses on Key-Binding Technique based on Fuzzy Commitment Scheme (FCS) under BC approach. In FCS, the helper data should not disclose any information about the biometric data. However, literatures showed that it had dependency issue in its helper data which jeopardize security and privacy. Moreover, this also increases the probability of privacy leakage which lead to attacks such as brute-force and cross-matching attack. Thus, the aim of this research is to reduce the dependency of helper data that can caused privacy leakage. Three objectives have been set such as (1) to identify the factors that cause dependency on biometric features (2) to enhance FCS by proposing an approach that reduces this dependency, and (3) to evaluate the proposed approach based on parameters such as security, privacy, and biometric performance. This research involved four phases. Phase one, involved research review and analysis, followed by designing conceptual model and algorithm development in phase two and three respectively. Phase four, involved with the evaluation of the proposed approach. The security and privacy analysis shows that with the additional hash function, it is difficult for adversary to perform brute‐force attack on information stored in database. Furthermore, the proposed approach has enhanced the aspect of unlinkability and prevents cross-matching attack. The proposed approach has achieved high accuracy of 95.31% with Equal Error Rate (EER) of 1.54% which performs slightly better by 1.42% compared to the existing approach. This research has contributed towards the key-binding technique of biometric fingerprint template protection, based on FCS. In particular, this research was designed to create a secret binary feature that can be used in other state-of-the-art cryptographic systems by using an appropriate error-correcting approach that meets security standards.
format	Thesis
qualification_name	other
qualification_level	Doctorate
author	Taqiyah Khadijah, Ghazali
author_facet	Taqiyah Khadijah, Ghazali
author_sort	Taqiyah Khadijah, Ghazali
title	An enhanced fuzzy commitment scheme in biometric template protection
title_short	An enhanced fuzzy commitment scheme in biometric template protection
title_full	An enhanced fuzzy commitment scheme in biometric template protection
title_fullStr	An enhanced fuzzy commitment scheme in biometric template protection
title_full_unstemmed	An enhanced fuzzy commitment scheme in biometric template protection
title_sort	enhanced fuzzy commitment scheme in biometric template protection
granting_institution	Universiti Utara Malaysia
granting_department	Awang Had Salleh Graduate School of Arts & Sciences
publishDate	2023
url	https://etd.uum.edu.my/10637/1/Depositpermission_s901634.pdf https://etd.uum.edu.my/10637/2/s901634_01.pdf
_version_	1783729391788883968

An enhanced fuzzy commitment scheme in biometric template protection

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