A Diffusion Model Based on the Features of the 3D Chaotic Baker Map for Image Encryption
Keywords:
2D Baker map, 3D Baker map, encryption, NPCR, UACI, DiffusionAbstract
This paper consists of an optimal encryption method for colored images with the technique of the 3D Chaotic Baker map-based diffusion model. The 2D Baker map introduced earlier was not secure against statistical attack and the performance was slow while encrypting an image. So, because the 2D Baker map did not show better results that are the reason 3D Baker Map came into existence and to merge the pixels to such an extent with each other so a little change in one bit of an original image can cause a whole lot of modification for the cipher. In the confusion method, it is functional to deal with the position of the pixels present within a specific image. The advantage of using the 3D Baker Map-based diffusion model in this paper as it makes the model delicate in nature for changing any pixel value or secret key. The algorithm’s efficiency is dependent on the experimental results. The new proposed model for encryption with the inbuilt feature of random binary sequence for the process of encrypting the plain image to cipher.
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