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A double scrambling-DNA row and column closed loop image encryption algorithm based on chaotic system

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  • Weiyu Ran
  • Erfu Wang
  • Zhiyong Tong

Abstract

In this paper, a dynamic update algorithm of double scrambling-DNA row and column closed loop based on chaotic system is proposed. The classical scrambling and diffusion structure are used in the whole process. In the scrambling stage, a new pixel reconstruction method is proposed by combining the Hilbert curve with Knuth-Durstenfeld shuffle algorithm to overcome the shortcoming of nearby storage of Hilbert curve. This method reconstructs the pixel matrix of one-dimensional vector according to the Hilbert curve coding method, and achieves good scrambling effect, while reducing its time complexity and space complexity. In the diffusion stage, combining the plaintext row, the ciphertext row and the key row, and taking advantage of the parallel computing power and high storage density of the DNA encoding, the existing block diffusion operation is improved, and the two-round diffusion of the DNA encoding is proposed. When the last line of ciphertext is generated, the first line of ciphertext is updated and the closed-loop dynamic update of the encryption system is realized. Finally, SHA-256 is used to give the secret key and calculate the initial value of the chaotic system. The simulation results show that the “double scrambling-DNA row and column closed loop dynamic” update algorithm proposed in this paper can effectively improve the efficiency of information transmission and have high security.

Suggested Citation

  • Weiyu Ran & Erfu Wang & Zhiyong Tong, 2022. "A double scrambling-DNA row and column closed loop image encryption algorithm based on chaotic system," PLOS ONE, Public Library of Science, vol. 17(7), pages 1-30, July.
    • Handle: RePEc:plo:pone00:0267094
    DOI: 10.1371/journal.pone.0267094
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    References listed on IDEAS

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    1. Dejian Fang & Shuliang Sun, 2020. "A new secure image encryption algorithm based on a 5D hyperchaotic map," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-13, November.
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