Volume 14, Issue 4, February 2016, Pages 997–1004
Ramón Santana Fernández1, Vivian Estrada Senti2, and Yanio Hernandez Heredia3
1 Biometric research, University of Informatics Science, Havana, Cuba
2 Universidad de Ciencias Informáticas, La Habana, Cuba
3 Software development, University of Informatics Science, Havana, Cuba
Original language: English
Copyright © 2016 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
The recent implementation of biometrics solutions for user authentication in public networks has caused great concern about the safety and privacy of biometric data. Different vulnerabilities detected on automated fingerprint identification systems could reveal minutiae data if they are stored in plain text. In order to solve these security issues, several fingerprint minutiae template protection schemas have been proposed, among which there are the fuzzy vault, biohasing and cancellable or non-invertible fingerprint templates. To carry out an efficient biometric data protection process, the schema must meet three basic requirements: cryptographic security, revocability and performance; however, most of the schemas described to date fail in this task. A fingerprint minutiae template protection scheme must capture as much identifying information of the fingerprint as possible and solve the problem of template alignment before the comparison process is performed in the protected domain. A study on the cryptographic scheme of fingerprint minutiae template protection models and alignment methods was conducted in this work. Emphasis was placed on the cryptographic bases of minutiae template protection scheme and existing algorithms for aligning protected templates, highlighting the weaknesses of each one. As a result, the knowledge necessary to design an alignment-free minutiae template protection model was obtained.
Author Keywords: Fuzzy vault, Fuzzy commitment, cancellable templates, fingerprint template protection.
Ramón Santana Fernández1, Vivian Estrada Senti2, and Yanio Hernandez Heredia3
1 Biometric research, University of Informatics Science, Havana, Cuba
2 Universidad de Ciencias Informáticas, La Habana, Cuba
3 Software development, University of Informatics Science, Havana, Cuba
Original language: English
Copyright © 2016 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
The recent implementation of biometrics solutions for user authentication in public networks has caused great concern about the safety and privacy of biometric data. Different vulnerabilities detected on automated fingerprint identification systems could reveal minutiae data if they are stored in plain text. In order to solve these security issues, several fingerprint minutiae template protection schemas have been proposed, among which there are the fuzzy vault, biohasing and cancellable or non-invertible fingerprint templates. To carry out an efficient biometric data protection process, the schema must meet three basic requirements: cryptographic security, revocability and performance; however, most of the schemas described to date fail in this task. A fingerprint minutiae template protection scheme must capture as much identifying information of the fingerprint as possible and solve the problem of template alignment before the comparison process is performed in the protected domain. A study on the cryptographic scheme of fingerprint minutiae template protection models and alignment methods was conducted in this work. Emphasis was placed on the cryptographic bases of minutiae template protection scheme and existing algorithms for aligning protected templates, highlighting the weaknesses of each one. As a result, the knowledge necessary to design an alignment-free minutiae template protection model was obtained.
Author Keywords: Fuzzy vault, Fuzzy commitment, cancellable templates, fingerprint template protection.
How to Cite this Article
Ramón Santana Fernández, Vivian Estrada Senti, and Yanio Hernandez Heredia, “Cryptographic schemes for minutiae template protection,” International Journal of Innovation and Applied Studies, vol. 14, no. 4, pp. 997–1004, February 2016.
