Biocryptosystems for Template Protection: A Survey of Fuzzy Vault

M. B. Akanbi, R. Jimoh, J. B. Awotunde
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Abstract

Biometric recognition systems provide security to systems by preventing unauthorized access. In recent times, research proved that unprotected biometric systems can be invaded by hackers. A spoofed biometric security can be a great risk as a compromised biometric template can be lost forever. It can also be used to gain unauthorized access into systems. There is the need to protect biometric template from hackers and possible misuse. This study presents various template protection schemes in literature. In addition, this paper reviewed fuzzy vault biocryptosystem template protection scheme by comparing some fuzzy vault schemes in literature based on their False acceptance rates (FAR) and Genuine acceptance rates (GAR) with different degrees of polynomial. The study also reported past studies with the lowest and the highest FAR as 0.00% and 0.87% respectively while the lowest and the highest GAR stand at 72% and 99% respectively.
模板保护的生物加密系统:模糊保险库综述
生物识别系统通过防止未经授权的访问为系统提供安全性。最近,研究证明,不受保护的生物识别系统可能被黑客入侵。被欺骗的生物识别安全性可能是一个巨大的风险,因为受损的生物识别模板可能永远丢失。它还可以用来获得对系统的未经授权的访问。有必要保护生物识别模板免受黑客攻击和可能的滥用。本研究介绍了文献中各种模板保护方案。此外,本文还对模糊保险库生物密码系统模板保护方案进行了综述,比较了文献中几种不同多项式度的模糊保险库方案的假接受率(FAR)和真接受率(GAR)。本研究还报道了以往的研究,FAR最低和最高分别为0.00%和0.87%,GAR最低和最高分别为72%和99%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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