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Parallel Image Encryption Technology Based on Cellular Automaton

机译:基于元胞自动机的并行图像加密技术

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The traditional encryption algorithms such as DES, AES are considered too slow for image encryption, which cannot meet the real-time requirements. Therefore, this paper proposes a parallel image encryption algorithm based on cellular automaton and chaotic map. In the scrambling stage, the keystream generated by 2D-LASM is used to scramble the rows and columns of the image in parallel. In the diffusion stage, the scrambled image is constructed into two identical square bit matrices as the initial state of the cellular automaton based on the balance rule, and the encrypted image is obtained by iterating cellular automaton multiple times. The sub key expansion algorithm adopts a weighted pixel value mechanism, which makes the generation of key stream depend on plain image, so as to resist the attack of chosen plaintext and known plaintext. The algorithm is coordinated by CPU / GPU. With the acceleration of GPU, the efficiency of the algorithm has been significantly improved.
机译:传统的加密算法(例如DES,AES)被认为对于图像加密而言太慢,无法满足实时要求。因此,本文提出了一种基于元胞自动机和混沌映射的并行图像加密算法。在加扰阶段,由2D-LASM生成的密钥流用于并行加扰图像的行和列。在扩散阶段,根据平衡规则,将加扰的图像构造成两个相同的平方位矩阵,作为细胞自动机的初始状态,并通过多次迭代细胞自动机获得加密的图像。子密钥扩展算法采用加权像素值机制,使得密钥流的生成依赖于纯图像,以抵抗所选明文和已知明文的攻击。该算法由CPU / GPU协调。随着GPU的加速,该算法的效率得到了显着提高。

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