Abstract
Digital image encryption technology is an important means to effectively protect the secure transmission of images. With the advantage of the sensitivity and pseudo randomness of the chaotic map to the initial condition and the inherent spatial configuration of DNA molecule and the unique information processing ability, an image encryption algorithm based on chaotic system and DNA sequence operations is proposed. First, the Logistic map is employed to generate the index sequence to scramble the pixel positions. Second, the hash value of the plaintext image is computed using the SHA-3 algorithm, which is used as the initial key of the 2D-LSCM chaotic system. Third, dynamic DNA encoding is performed on the image and the XOR operations are carried out with the generated random sequence to achieve pixel scrambling and further enhances the security of the encryption algorithm. Finally, preset DNA encoding rules are selected through DNA sequence operations to further enhance the confusion and diffusion characteristics of the algorithm. The experimental and security analysis results show that the algorithm not only has large key space and strong sensitivity to the key, but also can effectively resist statistical attacks and differential attacks.
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Acknowledgments
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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Zhang, X., Zhou, Z., Niu, Y., Wang, Y., Wang, L. (2018). An Image Encryption Algorithm Based on Chaotic System Using DNA Sequence Operations. 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_20
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DOI: https://doi.org/10.1007/978-981-13-2829-9_20
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