BUILD CRYPTOGRAPHIC SYSTEM FROM MULTI-BIOMETRICS USING MEERKAT ALGORITHM

Duha Salman, R. A. Azeez, Abdul Abdul-hossen
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引用次数: 3

Abstract

Presenting uncouth proposal for the design of investigating ways to use extraction feature from biometric user,rather than memorable password or passphrase as an attempt to produce a new and randomly cipher keys. Human users find itdifficult to remember long cipher keys. Therefore, the proposed work takes the eye and ear as a multi-biometrics feature extraction forgenerating the cryptography keys. Meerkat Clan Key Generation Algorithm (MCKGA) is used in this work for key generation, firstlywe generate keys with 128-bits, then we enhance our method by generating 256-bits, and finally we mix the keys produced from (eyeand ear) and get robust key with 512-bits length, these keys are tested by NIST statically test to generate random keys used in encryptionprocess. Our approach generates unique keys used in cryptographic system by using Advanced Encryption Standard (AES) algorithm.
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利用猫鼬算法构建基于多生物特征的密码系统
为研究如何使用生物特征用户的提取特征,而不是令人难忘的密码或密码短语来尝试生成新的随机密钥,提出了一项不雅的建议。人类用户发现很难记住长密钥。因此,本文将眼耳作为一种多生物特征提取伪造密钥的方法。本工作使用Meerkat Clan密钥生成算法(MCKGA)进行密钥生成,首先生成128位的密钥,然后通过生成256位来增强我们的方法,最后我们将(eye和ear)生成的密钥混合得到512位长度的鲁棒密钥,这些密钥通过NIST静态测试来生成加密过程中使用的随机密钥。我们的方法通过使用高级加密标准(AES)算法生成密码系统中使用的唯一密钥。
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