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首页> 外文期刊>International Journal of Hybrid Intelligent Systems >Increasing data accuracy in biometric authentication systems: An exploratory study using papilio algorithm on fuzzy schemes
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Increasing data accuracy in biometric authentication systems: An exploratory study using papilio algorithm on fuzzy schemes

机译：在生物识别系统中提高数据准确性：在模糊方案上使用papilio算法进行的探索性研究

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摘要

When taking into consideration user's authentication technologies, systems can be divided into two main categories: (ⅰ) those that use passwords, keys, such as cards and tags and (ⅱ) those that use biometric data, such as signature, fingerprint and voice. In this context, it is well understood that biometric systems, which were building based on biometric authentication technologies, emerge as safer authentication alternatives. In order to guarantee the security and thus the data stored accuracy, protection schemes for biometric authentication, such as the Fuzzy Vault and Fuzzy Commitment, have been adopted. In this work, we performed some improvements in the functioning of two well known fuzzy protection schemes, which are: Fuzzy Vault and Fuzzy Commitment, using the Papilio encryption algorithm. This combination leads to the proposal of new protection schemes called Papilio Fuzzy Vault and Papilio Fuzzy Commitment. We carried out an exploratory study using a suite of well-known biometric datasets. Our findings indicated gains in terms of security when comparing the proposed schemes to the original ones. However, the proposed schemes keep the same accuracy level of the original ones.
机译：考虑用户的身份验证技术时，系统可以分为两大类：（ⅰ）使用密码，密钥（例如卡和标签）的系统和（ⅱ）使用生物识别数据（例如签名，指纹和语音）的系统。在这种情况下，众所周知，基于生物特征认证技术构建的生物特征系统已成为更安全的认证替代方案。为了保证安全性并因此保证数据存储的准确性，已采用了生物身份认证的保护方案，例如Fuzzy Vault和Fuzzy Commitment。在这项工作中，我们使用Papilio加密算法对两个著名的模糊保护方案（Fuzzy Vault和Fuzzy Commitment）的功能进行了一些改进。这种结合导致提出了新的保护方案，称为Papilio Fuzzy Vault和Papilio Fuzzy Commitment。我们使用了一套著名的生物统计数据集进行了一项探索性研究。我们的研究结果表明，在将提议的方案与原始方案进行比较时，安全性有所提高。然而，所提出的方案保持与原始方案相同的精度水平。

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