Due to its accuracy and convenience, the fingerprint is one of the most reliable biometric-based authentication methods for personal identification and providing access control to many applications. However, previous studies have shown that, the fingerprint template is exposed to threat in which the attackers can steal and modified the template to acquire illegal authorization. Therefore, a technique to protect the biometric template has been proposed. The proposed technique involved the biometric template binding by advanced encryption standard (AES-128) key algorithm, which is to provide confidentiality alongside with the offset codebook mode (OCB), an authenticated encryption (AE) mode to provide integrity. Hence, this paper intends to evaluate the security performance of the proposed technique. Three parameters will be analysed which are peak signal to noise ratio (PSNR), correlation coefficient and histogram. The efficiency of the proposed technique is measured by the standard of its capability to hide all the information by correlating the relationship between the original and encrypted biometric image using PSNR, correlation coefficient and histogram analysis. The experimental results show good security performance in the given parameters.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.