Abstract
In this work, we will propose a new color image encryption technique using chaotic maps and based on an improved Feistel scheme. This scheme is reinforced by two genetic operators adapted to cryptography. After putting the original image into a single vector, a genetic mutation is applied. Then, a subdivision into sub-blocks of pseudo-random size is performed. Feistel's technique is applied using new confusion and diffusion functions. A genetic crossover is installed at the output and is controlled by a pseudo-random crossover table. Simulations carried out on a large sample of images of various sizes demonstrate that our method is resilient against all known attacks.
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Rrghout, H. et al. (2024). Combination of an Improved Feistel Scheme and Genetic Operators for Chaotic Image Encryption. In: GarcÃa Márquez, F.P., Jamil, A., Ramirez, I.S., Eken, S., Hameed, A.A. (eds) Computing, Internet of Things and Data Analytics. ICCIDA 2023. Studies in Computational Intelligence, vol 1145. Springer, Cham. https://doi.org/10.1007/978-3-031-53717-2_8
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