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An efficient and lossless fingerprint encryption algorithm using Henon map Arnold transformation

机译:使用Henon映射和Arnold变换的高效无损指纹加密算法

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In this paper two stage biometric data protection scheme is being proposed using permutation and substitution mechanism of the chaotic theory which is lossless in nature. Arnold transformation and Henon map is used to design an efficient encryption system. The encryption method is aimed at generating an encrypted image that will have statistical properties completely dissimilar from the original image analysis which will make it difficult for any intruder to decrypt the image. The performance of the method has been experimentally analyzed using statistical analysis and correlation based methods. Correlation coefficient analysis is done to evaluate the behavior of pixels in horizontal and vertical directions and the results are found to be encouraging. This protection scheme provides the ability to encrypt the data and secure it from unauthorized users. Upon decryption the data is completely recovered making this scheme a lossless and efficient method of biometric data security.
机译:本文提出了一种利用混沌理论的置换和替换机制提出的两阶段生物特征数据保护方案,该算法本质上是无损的。 Arnold变换和Henon映射用于设计有效的加密系统。加密方法旨在生成加密的图像,该图像将具有与原始图像分析完全不同的统计属性,这将使任何入侵者都难以解密图像。该方法的性能已使用统计分析和基于相关性的方法进行了实验分析。进行了相关系数分析,以评估像素在水平和垂直方向上的行为,结果令人鼓舞。此保护方案提供了加密数据并保护其免受未授权用户攻击的能力。解密后,数据将被完全恢复,从而使该方案成为生物统计数据安全性的无损高效方法。

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