指纹特征向量键绑定

I. Raghu, V. Reddy
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引用次数: 0

摘要

在现代世界,保护数据是一项艰巨的任务。密码系统已广泛应用于许多信息安全应用中。这些系统面临的一个主要挑战是如何保护私钥免受攻击者的攻击。一种生物特征密码系统,可用于有效保护私钥,并仅在合法用户输入其生物特征数据时检索私钥。在生物识别应用中,众所周知,指纹可以比其他生物识别方式更好地区分人。本文提出了一种基于BCH的指纹生物特征加密模型,并将BCH和RS编码相结合。实验结果表明,利用指纹特征向量对128位私钥进行了安全加密,并在FRR为0.7%、FAR为0%的情况下成功检索。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Key binding with fingerprint feature vector
In modern world to secure data is a big task. Cryptographic systems have been widely used in many information security applications. One main challenge that these systems have faced has been how to protect private keys from attackers. A biometric cryptosystem that can be used to effectively protect private keys and to retrieve them only when legitimate users enter their biometric data. In biometric applications, it is widely known that a fingerprint can discriminate between persons better than other biometric modalities. In this paper, we propose a fingerprint based biometric encryption model using BCH and the combination of BCH and RS Coding. Experimental results showed that 128-bit private keys were securely encrypted with fingerprint feature vector and successfully retrieved at verification with FRR is 0.7% and FAR is 0%.
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