An enhanced fingerprint template protection scheme
Fingerprint template protection (FTP) is required to secure authentication due to fingerprint has been widely used for user authentication systems. Fingerprint authentication consists of a microcontroller, fingerprint sensor, secure access control, and human interface. However, as many users frequen...
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my-uum-etd.102062023-01-11T00:19:19Z An enhanced fingerprint template protection scheme 2022 Siswanto, Apri Katuk, Norliza Ku Mahamud, Ku Ruhana Awang Had Salleh Graduate School of Arts & Sciences Awang Had Salleh Graduate School of Arts and Sciences T Technology (General) Fingerprint template protection (FTP) is required to secure authentication due to fingerprint has been widely used for user authentication systems. Fingerprint authentication consists of a microcontroller, fingerprint sensor, secure access control, and human interface. However, as many users frequently assess the systems, fingerprints could be replicated and modified by attackers. Currently, most existing FTP schemes fail to meet the properties of fingerprint authentication systems, namely diversity, revocability, security, and match/recognition performance, due to intra-user variability in fingerprint identifiers and matching issues in unencrypted domains. Therefore, this study aims to enhance the existing schemes by using chaos-based encryption and hash functions to meet the specified properties by securing users’ fingerprint templates (FT) within the embedded systems. Furthermore, an improved chaos-based encryption algorithm was proposed for encrypting FT. The MATLAB simulation with Fingerprint Verification Competition (FVC) 2002 database was used to measure the encryption results, secret key spaces, key sensitivity, histogram, correlation, differential, entropy information, matching/recognition analysis, and revocability. The proposed FTP scheme was also evaluated using Burrows–Abadi– Needham (BAN) logic analysis for protocol robustness with resistance to replay attacks, stolen-verifier attacks, and perfect forward secrecy. The results demonstrate that the enhanced chaos-based encryption algorithm for FTP improves its encryption time, which is 0.24 seconds faster than the selected benchmark study. The enhanced FTP scheme also achieved security, revocability, diversity, and matching/recognition performance properties. The matching/recognition performance evaluation produced higher verification rates and a low false rejection rate. The rates were 99.10 % and 0.90%, respectively. The equal error rate decreased from 2.10% to 1.05%. As a conclusion, the enhanced FTP scheme could be an alternative to the existing FTP for embedded system authentication to withstand various possible attacks and provides the desired security features. The scheme also can be a reference to comprehensive security analysis. 2022 Thesis https://etd.uum.edu.my/10206/ https://etd.uum.edu.my/10206/1/s901142_01.pdf text eng 2024-04-05 staffonly https://etd.uum.edu.my/10206/2/s901142_02.pdf text eng public phd doctoral Universiti Utara Malaysia |
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Universiti Utara Malaysia |
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eng eng |
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Katuk, Norliza Ku Mahamud, Ku Ruhana |
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T Technology (General) |
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T Technology (General) Siswanto, Apri An enhanced fingerprint template protection scheme |
description |
Fingerprint template protection (FTP) is required to secure authentication due to fingerprint has been widely used for user authentication systems. Fingerprint authentication consists of a microcontroller, fingerprint sensor, secure access control, and human interface. However, as many users frequently assess the systems,
fingerprints could be replicated and modified by attackers. Currently, most existing FTP schemes fail to meet the properties of fingerprint authentication systems, namely diversity, revocability, security, and match/recognition performance, due to intra-user variability in fingerprint identifiers and matching issues in unencrypted domains.
Therefore, this study aims to enhance the existing schemes by using chaos-based encryption and hash functions to meet the specified properties by securing users’ fingerprint templates (FT) within the embedded systems. Furthermore, an improved chaos-based encryption algorithm was proposed for encrypting FT. The MATLAB
simulation with Fingerprint Verification Competition (FVC) 2002 database was used to measure the encryption results, secret key spaces, key sensitivity, histogram, correlation, differential, entropy information, matching/recognition analysis, and revocability. The proposed FTP scheme was also evaluated using Burrows–Abadi–
Needham (BAN) logic analysis for protocol robustness with resistance to replay attacks, stolen-verifier attacks, and perfect forward secrecy. The results demonstrate that the enhanced chaos-based encryption algorithm for FTP improves its encryption time, which is 0.24 seconds faster than the selected benchmark study. The enhanced FTP scheme also achieved security, revocability, diversity, and matching/recognition performance properties. The matching/recognition performance evaluation produced higher verification rates and a low false rejection rate. The rates were 99.10 % and 0.90%, respectively. The equal error rate decreased from 2.10% to 1.05%. As a conclusion, the enhanced FTP scheme could be an alternative to the existing FTP for embedded system authentication to withstand various possible attacks and provides
the desired security features. The scheme also can be a reference to comprehensive security analysis. |
format |
Thesis |
qualification_name |
Doctor of Philosophy (PhD.) |
qualification_level |
Doctorate |
author |
Siswanto, Apri |
author_facet |
Siswanto, Apri |
author_sort |
Siswanto, Apri |
title |
An enhanced fingerprint template protection scheme |
title_short |
An enhanced fingerprint template protection scheme |
title_full |
An enhanced fingerprint template protection scheme |
title_fullStr |
An enhanced fingerprint template protection scheme |
title_full_unstemmed |
An enhanced fingerprint template protection scheme |
title_sort |
enhanced fingerprint template protection scheme |
granting_institution |
Universiti Utara Malaysia |
granting_department |
Awang Had Salleh Graduate School of Arts & Sciences |
publishDate |
2022 |
url |
https://etd.uum.edu.my/10206/1/s901142_01.pdf https://etd.uum.edu.my/10206/2/s901142_02.pdf |
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