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Medical image encryption algorithm based on Latin square and memristive chaotic system

机译:基于拉丁平方和忆阻混沌系统的医学图像加密算法

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摘要

Medical image encryption may help protect medical privacy. In this paper, we propose a new medical image encryption scheme combined Latin square and chaotic system. The architecture of permutation and diffusion is adopted. Using Latin square and the plain image information, permutation based on plain image and Latin square (PPILS) is presented to shuffle the pixels of the plain image to different rows and columns, effectively weaken the strong correlations between adjacent pixels, and different images have different permutation effect. To improve the encryption effect, bi-directional adaptive diffusion is proposed to spread little change of plain images to the entire pixels of cipher images. Chaotic sequences employed in permutation and diffusion are generated from the four-dimensional memristive chaotic system, its initial values are computed by SHA 256 hash value of the plain image, and thus the proposed algorithm may withstand known-plaintext and chosen-plaintext attacks. Simulation results and performance analyses show that our image encryption scheme has good security and robustness, and it may be applied for medical image encryption applications.
机译:医学图像加密可以帮助保护医学隐私。在本文中,我们提出了一种新的结合拉丁方和混沌系统的医学图像加密方案。采用置换和扩散的架构。利用拉丁方格和普通图像信息,提出了基于普通方格和拉丁方格(PPILS)的置换,将普通图像的像素混排为不同的行和列,有效地削弱了相邻像素之间的强相关性,不同的图像具有不同的排列效果。为了提高加密效果,提出了双向自适应扩散技术,以将几乎没有变化的普通图像扩展到密码图像的整个像素上。从二维忆阻混沌系统中产生了排列和扩散的混沌序列,由原始图像的SHA 256哈希值计算了初始值,从而可以抵抗已知明文和选择明文的攻击。仿真结果和性能分析表明,我们的图像加密方案具有良好的安全性和鲁棒性,可用于医学图像加密应用。

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