Abstract
A new image encryption algorithm with low correlation coefficient and high information entropy based on dynamic DNA coding and hyper-chaotic Lorenz system is proposed in this paper. In order to generate the initial values in hyper-chaotic system to construct DNA sequence matrix and dynamic S-box, this algorithm use the SHA-256 algorithm to generate a common key. Then use the SCAN mode and the S-box to scramble the pixel position. In order to scramble the pixel values, this paper uses the DNA sequence matrix to calculate cipher-text. Theoretical analysis and simulation results show that the algorithm improves the sensitivity of key space, and the encryption system can resist statistical attacks and differential attack.
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Acknowledgment
The work for this paper was supported by the National Natural Science Foundation of China (Grant nos. 61602424, 61472371, 61572446, and 61472372), Plan for Scientific Innovation Talent of Henan Province (Grant no. 174100510009), Program for Science and Technology Innovation Talents in Universities of Henan Province (Grant no. 15HASTIT019), and Key Scientific Research Projects of Henan High Educational Institution (18A510020).
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Cui, G., Wang, L., Zhang, X., Zhou, Z. (2018). An Image Encryption Algorithm Based on Dynamic DNA Coding and Hyper-chaotic Lorenz System. In: Qiao, J., et al. Bio-inspired Computing: Theories and Applications. BIC-TA 2018. Communications in Computer and Information Science, vol 952. Springer, Singapore. https://doi.org/10.1007/978-981-13-2829-9_21
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DOI: https://doi.org/10.1007/978-981-13-2829-9_21
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