Abstract
Due to its highly sensitive initial values and parameters and complicated features such as ergodicity and pseudorandomness, chaos-based systems are extensively used in digital image encryption. On the other hand, the authors looked at the impact of these maps on the encryption of colour images. The current research presents an image encryption using Fisher-Yates shuffling (FYS) and a 2D-LTM. FYS is a program that creates random permutations of finite sequences. At first, this FYS is used for randomly permuting the plain mage in rows and columns wise. Second, at the diffusion step, the 2D-LTM is utilized to confuse the values of pixel in the shuffled image. The suggested method is used to process a variety of images. Many tests are carried out to ensure the proposed algorithm’s security and performance. Furthermore, numerical simulations and experimental findings have ensured that the suggested method can withstand various attacks.
Supported by City University, Petaling Jaya, MALAYSIA.
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Ravi, R.V., Goyal, S.B., Djeddi, C. (2022). Colour Image Encryption Based on Fisher-Yates Algorithm and Chaotic Maps. In: Djeddi, C., Siddiqi, I., Jamil, A., Ali Hameed, A., Kucuk, İ. (eds) Pattern Recognition and Artificial Intelligence. MedPRAI 2021. Communications in Computer and Information Science, vol 1543. Springer, Cham. https://doi.org/10.1007/978-3-031-04112-9_5
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