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Fusion: Practice and Applications
Volume 10 , Issue 2, PP: 08-24 , 2023 | Cite this article as | XML | Html |PDF

Title

Enhanced Template Protection Algorithms Based on Fuzzy Vault and Cuckoo Hashing for Fingerprint Biometrics

  Mulikat B. Akanbi 1 * ,   Rasheed G. Jimoh 2 ,   Agbotiname L. Imoize 3 ,   Joseph B. Awotunde 4 ,   Olatunji S. Isiaka 5 ,   Shade B. Abdulrahaman 6

1  Computer Science Department, Institute of Information and Communication Technology, Kwara State Polytechnic, Ilorin, Nigeria
    (akanbiforu@gmail.com)

2  Department of Computer Science, Faculty of Information and Communication Sciences, University of Ilorin, Ilorin 240003, Nigeria
    (jimoh_rasheed@unilorin.edu.ng)

3  Department of Electrical and Electronics Engineering, Faculty of Engineering, University of Lagos, Akoka, Lagos 100213, Nigeria; Department of Electrical Engineering and Information Technology, Institute of Digital Communication, Ruhr University, 44801 Bochum, Germany
    (aimoize@unilag.edu.ng)

4  Department of Computer Science, Faculty of Information and Communication Sciences, University of Ilorin, Ilorin 240003, Nigeria
    (awotunde.jb@unilorin.edu.ng)

5   Computer Science Department, Institute of Information and Communication Technology, Kwara State Polytechnic, Ilorin, Nigeria
    (isiakaosalman2@gmail.com)

6   Computer Science Department, Institute of Information and Communication Technology, Kwara State Polytechnic, Ilorin, Nigeria
    (billy4us@gmail.com)

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Doi   :   https://doi.org/10.54216/FPA.100201

Received: January 10, 2023 Accepted: March 15, 2023

Abstract :

Biometrics provides better authentication. Unprotected biometrics is open to attacks from intruders as stolen biometrics may not be revocable. Although there are several points where attacks can be launched on biometric systems, template databases are said to be the most frequently attacked. When a template database is attacked, attackers can add fresh templates, modify the existing ones, copy or steal templates and later construct a spoof from it or replay it back into the biometric system to impersonate a genuine user. Several template security systems have been presented in the literature to secure biometric templates. Fuzzy vault, as proposed by many researchers is, to some extent, one of the best algorithms to achieve template protection as it has good security. Fuzzy vault, however, lacks irreversibility, revocability, and diversity. To address these disadvantages and strengthen fuzzy vault, this study combines a noninvertible feature transformation template protection algorithm known as cuckoo hashing that possesses irreversibility, revocability, and diversity properties with a fuzzy vault for privacy. The study used fingerprint biometrics as it is widely used. The proposed algorithm was implemented in the MATLAB 2016a environment using FVC 2004 DB1 fingerprint public database. The proposed algorithm recorded a FAR of 0.01% and an FRR value of 0.09% with an EER of 0.05%.

Keywords :

Fingerprint; Template protection; Biocryptosystems; Fuzzy vault; Feature Transformation; Biometric system; Authentication; Template protection Revocability.

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Cite this Article as :
Style #
MLA Mulikat B. Akanbi, Rasheed G. Jimoh, Agbotiname L. Imoize, Joseph B. Awotunde, Olatunji S. Isiaka, Shade B. Abdulrahaman. "Enhanced Template Protection Algorithms Based on Fuzzy Vault and Cuckoo Hashing for Fingerprint Biometrics." Fusion: Practice and Applications, Vol. 10, No. 2, 2023 ,PP. 08-24 (Doi   :  https://doi.org/10.54216/FPA.100201)
APA Mulikat B. Akanbi, Rasheed G. Jimoh, Agbotiname L. Imoize, Joseph B. Awotunde, Olatunji S. Isiaka, Shade B. Abdulrahaman. (2023). Enhanced Template Protection Algorithms Based on Fuzzy Vault and Cuckoo Hashing for Fingerprint Biometrics. Journal of Fusion: Practice and Applications, 10 ( 2 ), 08-24 (Doi   :  https://doi.org/10.54216/FPA.100201)
Chicago Mulikat B. Akanbi, Rasheed G. Jimoh, Agbotiname L. Imoize, Joseph B. Awotunde, Olatunji S. Isiaka, Shade B. Abdulrahaman. "Enhanced Template Protection Algorithms Based on Fuzzy Vault and Cuckoo Hashing for Fingerprint Biometrics." Journal of Fusion: Practice and Applications, 10 no. 2 (2023): 08-24 (Doi   :  https://doi.org/10.54216/FPA.100201)
Harvard Mulikat B. Akanbi, Rasheed G. Jimoh, Agbotiname L. Imoize, Joseph B. Awotunde, Olatunji S. Isiaka, Shade B. Abdulrahaman. (2023). Enhanced Template Protection Algorithms Based on Fuzzy Vault and Cuckoo Hashing for Fingerprint Biometrics. Journal of Fusion: Practice and Applications, 10 ( 2 ), 08-24 (Doi   :  https://doi.org/10.54216/FPA.100201)
Vancouver Mulikat B. Akanbi, Rasheed G. Jimoh, Agbotiname L. Imoize, Joseph B. Awotunde, Olatunji S. Isiaka, Shade B. Abdulrahaman. Enhanced Template Protection Algorithms Based on Fuzzy Vault and Cuckoo Hashing for Fingerprint Biometrics. Journal of Fusion: Practice and Applications, (2023); 10 ( 2 ): 08-24 (Doi   :  https://doi.org/10.54216/FPA.100201)
IEEE Mulikat B. Akanbi, Rasheed G. Jimoh, Agbotiname L. Imoize, Joseph B. Awotunde, Olatunji S. Isiaka, Shade B. Abdulrahaman, Enhanced Template Protection Algorithms Based on Fuzzy Vault and Cuckoo Hashing for Fingerprint Biometrics, Journal of Fusion: Practice and Applications, Vol. 10 , No. 2 , (2023) : 08-24 (Doi   :  https://doi.org/10.54216/FPA.100201)
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