2020
DOI: 10.1109/access.2020.2991420
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Color Image Encryption Algorithm Based on DNA Coding and Double Chaos System

Abstract: This paper combines DNA computing with double-chaos systems and proposes an algorithm for color image encryption at the bit level. First, we use Arnold algorithm to scramble the three components of the color image, and the number of iterations was determined by the average of the three components, which improved the scrambling effect of Arnold algorithm. Secondly, after a lot of experiments, we propose a double-chaos system composed of Lorenz chaotic mapping with variable parameters and fourth-order Rossler hy… Show more

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Cited by 57 publications
(51 citation statements)
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References 40 publications
(58 reference statements)
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“…And this system is better than the NIST test results of chaotic sequences generated by general high-dimensional chaotic systems. For example, the P value of each item is slightly higher than the P value of 15 tests in [ 41 ], which means it has better randomness. In addition, Wang et al [ 17 ] also tested the time series diagrams in each direction of x , y , z , w , and v , and they all showed a chaotic state, which also shows that the chaotic sequence generated by this system is more random.…”
Section: Basic Principlesmentioning
confidence: 99%
“…And this system is better than the NIST test results of chaotic sequences generated by general high-dimensional chaotic systems. For example, the P value of each item is slightly higher than the P value of 15 tests in [ 41 ], which means it has better randomness. In addition, Wang et al [ 17 ] also tested the time series diagrams in each direction of x , y , z , w , and v , and they all showed a chaotic state, which also shows that the chaotic sequence generated by this system is more random.…”
Section: Basic Principlesmentioning
confidence: 99%
“…The paper [12] proposed a color image encryption algorithm based on a double-chaos system and DNA computation at the bit level. This algorithm has used the Arnold algorithm to scramble the three color components of the plaintext image, and the number of iterations is determined by the pixel average of each component, which improved the scrambling effect of Arnold algorithm.…”
Section: Image Encryption Algorithmmentioning
confidence: 99%
“…• NPCR [1,[4][5][6][7][8][9][10][11][12][13][14][15][17][18][19]: For better decryption algorithm NPCR value should be low. • UACI [1,[4][5][6][7][8][9][10][11][12][13][14][15][17][18][19]: For good decrypted image quality UACI value should be low. • PSNR [5,6,10,13,14,17,18]: The larger the PSNR value, the more similar the decrypted image is to the original image.…”
Section: E Encryption Quality Checkmentioning
confidence: 99%
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“…In previous studies, some simple chaotic maps, such as one-dimensional maps and two-dimensional maps, have weak key spaces [41]- [46]. Their chaotic sequence orbits are simple [47], [48] and can be predicted by techniques such as regression mapping, phase space reconstruction, and nonlinear prediction. At the same time, the randomness of chaotic mapping will be significantly reduced in the digital domain, and it will be vulnerable to selected plaintext or known-plaintext attacks [49].…”
Section: Introductionmentioning
confidence: 99%