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A novel quantum image encryption algorithm based on crossover operation and mutation operation

机译:基于交叉运算和变异运算的新型量子图像加密算法

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摘要

In this paper, a new algorithm of image encryption based on random selection of crossover operation and mutation operation is proposed. Crossover operation and mutation operation come from genetic algorithm that gets high-quality solutions to optimization. First, quantum chaos sequence and two-dimensional logistic sequence are XORed with plain-image. And then, adjacent pixels of the image are carried out bit-level crossover operation and crossover bits rely heavily on chaotic maps for chaotic property. Finally, two different bits of each pixel are employed to perform mutation for high randomness. In order to obtain the high complexity and unpredictability further, quantum chaotic map is coupled with nearest-neighboring coupled-map lattices (NCML). Computer simulations and statistical analyses show that the proposed algorithm has more than 10(45) bits key space, low correlation closed to 0, ideal information entropy closed to 8, acceptable speed performance 4.7081Mbt/s and resistance to various attacks.
机译:提出了一种基于交叉操作和变异操作的随机选择的图像加密新算法。交叉操作和变异操作来自遗传算法,可以得到高质量的优化解决方案。首先,将量子混沌序列和二维逻辑序列与普通图像进行异或。然后,对图像的相邻像素执行位级交叉操作,并且交叉位严重依赖于混沌图来实现混沌特性。最后,每个像素的两个不同的位被用于执行突变以获得高随机性。为了进一步获得高复杂度和不可预测性,将量子混沌图与最近邻耦合图格(NCML)耦合。计算机仿真和统计分析表明,该算法具有超过10(45)位的密钥空间,低相关性接近0,理想信息熵接近8,可接受的速度性能4.7081Mbt / s和对各种攻击的抵抗力。

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