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Image Encryption Algorithm Based on DNA Encoding and Chaotic Maps

机译:基于DNA编码和混沌映射的图像加密算法

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We propose a new image encryption algorithm based on DNA sequences combined with chaotic maps. This algorithm has two innovations: (1) it diffuses the pixels by transforming the nucleotides into corresponding base pairs a random number of times and (2) it confuses the pixels by a chaotic index based on a chaotic map. For any size of the original grayscale image, the rows and columns are fist exchanged by the arrays generated by a logistic chaotic map. Secondly, each pixel that has been confused is encoded into four nucleotides according to the DNA coding. Thirdly, each nucleotide is transformed into the corresponding base pair a random number of time(s) by a series of iterative computations based on Chebyshev’s chaotic map. Experimental results indicate that the key account of this algorithm is 1.536 × 10127, the correlation coefficient of a 256 × 256 Lena image between, before, and after the encryption processes was 0.0028, and the information entropy of the encrypted image was 7.9854. These simulation results and security analysis show that the proposed algorithm not only has good encryption effect, but also has the ability to repel exhaustive, statistical, differential, and noise attacks.
机译:我们提出了一种新的基于DNA序列结合混沌图谱的图像加密算法。该算法具有两个创新:(1)通过将核苷酸随机转换为相应的碱基对来扩散像素数次;(2)通过基于混沌图的混沌索引来混淆像素。对于任何大小的原始灰度图像,行和列都由逻辑混乱图生成的数组进行第一交换。其次,根据DNA编码,每个被混淆的像素被编码为四个核苷酸。第三,通过基于切比雪夫(Chebyshev)混沌图的一系列迭代计算,将每个核苷酸随机地转化为相应的碱基对。实验结果表明,该算法的密钥帐户为1.536×10127,加密过程前后的256×256 Lena图像的相关系数为0.0028,加密图像的信息熵为7.9854。这些仿真结果和安全性分析表明,该算法不仅具有良好的加密效果,而且还具有抵御详尽,统计,差分和噪声攻击的能力。

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