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Image Encryption Algorithms Based on Non-uniform Second-Order Reversible Cellular Automata with Balanced Rules

机译:基于非均匀二阶可逆细胞自动机平衡规则的图像加密算法

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In this paper, we propose an image encryption algorithm based on non-uniform second-order reversible cellular automata (CA) which consist of two-state cells and use the Moore neighborhood. Different from other existing algorithms based CA, our algorithm uses the balanced CA rules that have a higher randomness than unbalanced rules. More specifically, before encryption we first mix the pixels of the plain image and then group these pixels with 128 bits for each block. Then each block is encrypted based on non-uniform second-order reversible CA by an iterative method. Since different key are constructed and applied for each block, the properties of confusion and diffusion of the encryption algorithm are well satisfied, and our algorithm can avoid the problem in the Electronic Codebook Book (ECB) encryption method that two plaintext blocks that have identical content are encrypted into identical cipher-text blocks. Simulation results show that our algorithm performs well in several security measurements such as histogram, information entropy, correlation of adjacent pixels, and sensitivity.
机译:在本文中,我们提出了一种基于不均匀二阶可逆细胞自动机(CA)的图像加密算法,该算法由两个状态单元组成,并使用摩尔定律。与其他现有的基于CA的算法不同,我们的算法使用平衡的CA规则,该规则具有比不平衡的规则更高的随机性。更具体地说,在加密之前,我们首先混合普通图像的像素,然后为每个块将这些像素与128位进行分组。然后,通过迭代方法,基于不均匀的二阶可逆CA对每个块进行加密。由于针对每个块构造并应用了不同的密钥,因此加密算法的混淆和扩散特性得到了很好的满足,并且我们的算法可以避免在电子密码本(ECB)加密方法中出现两个具有相同内容的纯文本块的问题。被加密成相同的密文块。仿真结果表明,我们的算法在直方图,信息熵,相邻像素的相关性和灵敏度等几种安全性测量中表现良好。

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