A Comparative Analysis of Cryptographic Algorithms and Transformation Functions for Biometric Data

Currently, there is a concern about the security of biometric data in the identification systems, mainly due to the increase of fraudulent attacks in these systems. Therefore, in this paper, we propose a comparative analysis of traditional cryptographic algorithms and transformation functions to be used as biometric template protection methods in the identification systems. In this sense, we aim to contribute with new approaches to the area of information security systems. Our goal is to analyse the increase of the biometric dataset security as well as the performance of these protected dataset in the biometric-based identification systems. In this comparative analysis, we apply well-elaborated structures, called ensemble systems, as the pattern recognition structure. These systems are applied to unprotected and protected biometric dataset to measure the performance of the template protection methods and traditional cryptographic algorithms used in this work. As a result of this comparative analysis, we intend identify which methods have a good trade-off between security and accuracy.