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A Novel Approach to Fingerprint Biometric-Based Cryptographic Key Generation and its Applications to Storage Security

机译:基于指纹生物识别的密码键生成及其在存储安全性的应用程序的新方法

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摘要

Existing biometric-based security mechanisms to ensure storage security follow Biometric Enrolment, Key Binding, Secure Sketch, Fuzzy vault or template store along with key of a user. Also, they use threshold based comparison or error calculation to authenticate the user. The storage of biometric data or key put the system under threats. Further, the user verification mechanism may not be accurate as the threshold selection is challenging. To alleviate this problem, we have proposed a novel approach to storage security. In our proposed approach, we extract biometric based statistical features to generate codeword of a user. To generate a codeword, we use Reed-Solomon encoding (RS). Later, this codeword will be used to generate a key. Prio to decryption, we authenticate user using SVM Ranking mechanism without threshold value. The major contributions include generation of unique and strong biocrypto keys from users' biometric data, Reed-Solomon encoding has been used to maintain the codeword and generation of key and SVM based ranking mechanism is used for the user verification where the storage of neither templates nor keys is required. (C) 2018 Elsevier Ltd. All rights reserved.
机译:基于生物识别的安全机制,以确保存储安全性遵循生物识别注册,键绑定,安全草图,模糊Vault或模板存储以及用户的键。此外,它们使用基于阈值的比较或错误计算来验证用户。生物识别数据或键的存储将系统置于威胁下。此外,随着阈值选择具有挑战性,用户验证机制可能不准确。为了减轻这个问题,我们提出了一种储存安全的新方法。在我们提出的方法中,我们提取基于生物识别的统计特征以生成用户的码字。要生成码字,我们使用Reed-Solomon编码(RS)。稍后,此码字将用于生成密钥。 PRIO为解密,我们使用SVM排名机制验证用户而没有阈值。主要贡献包括从用户的生物识别数据中产生独特和强大的BioCrypto键,已用于维持码字和生成密钥和基于SVM的排名机制,用于用户验证,其中既不数据夹需要键。 (c)2018年elestvier有限公司保留所有权利。

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