Abstract
In this paper, a new hybrid encryption scheme based on 4D hyper-chaotic Chen system and genetic algorithm is proposed. In order to improve the security performance of the secret key, the parameters related to the average value of pixels in plaintext images are chosen as the initial values of 4D hyper-chaotic Chen system. After the S-box operation of each row and column, the crossover operation of genetic algorithm is performed on all the rows and columns. Finally, a bitwise XOR operation of the image matrix in one dimension is achieved, and an effective cipher-text image is obtained, which is very secure when defending against differential attacks, statistical analysis attacks and brute force attacks.
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Acknowledgements
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, H., Zhou, Z., Wang, L., Li, C. (2018). An Image Encryption Algorithm Based on Hyper-chaotic System and Genetic Algorithm. 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_43
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DOI: https://doi.org/10.1007/978-981-13-2829-9_43
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