Is Fuzzy Vault Scheme Very Effective for Key Binding in Biometric Cryptosystems?

2011 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery Pub Date : 2011-10-10 DOI:10.1109/CyberC.2011.54

Hailun Liu, Dongmei Sun, Ke Xiong, Z. Qiu

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引用次数: 10

Abstract

Fuzzy vault scheme is one of the most popular secret sharing mechanisms. In the scheme two people could share the secret concealed in the vault as long as two data sets A and B overlap with each other substantially. Because the two sets A and B are not required to be identical, many researchers consider the fuzzy vault scheme as one of biometric cryptosystems and try to implement it based on biometric feature data. However, the fuzzy vault scheme is not applicable to biometric feature data, because the scheme is designed based on set differences metric while in biometric systems Euclidean distance metric is often used to measure the similarity between two feature vectors. To improve the traditional fuzzy vault scheme to be applicable to biometric feature data, we propose a multidimensional fuzzy vault scheme, in which data matching could be performed the same as in biometric systems. A simple implementation of proposed multidimensional fuzzy vault scheme is given in this paper. Experimental results based on HA-BJTU palmprint database show the feasibility of proposed multidimensional fuzzy vault scheme.

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模糊保险库方案对生物特征密码系统中的密钥绑定非常有效吗?

模糊保险库方案是目前最流行的秘密共享机制之一。在该方案中，只要两个数据集A和B有实质性的重叠，两个人就可以共享隐藏在保险库中的秘密。由于不要求A和B两个集合相同，许多研究者将模糊保险库方案作为生物特征密码系统的一种，并尝试基于生物特征数据实现该方案。然而，模糊拱顶方案并不适用于生物特征数据，因为该方案是基于集差度量来设计的，而在生物特征系统中，欧几里得距离度量通常用于度量两个特征向量之间的相似性。为了使传统的模糊拱顶方案适用于生物特征数据，我们提出了一种多维模糊拱顶方案，该方案可以像生物特征系统一样进行数据匹配。本文给出了所提出的多维模糊拱顶方案的一个简单实现。基于HA-BJTU掌纹数据库的实验结果表明了所提出的多维模糊拱顶方案的可行性。

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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2011 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery

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