Investigation of coupled map lattice as a diffusion model for enhanced image security

Sunil Kumar, Manish Kumar, Rajat Budhiraja, Malabika Das, Sanjeev Singh · 2018

An image encryption model as a diffusion model for image encryption is proposed using coupled map lattice. It incorporates mixing process based on pseudo random number generator to ensure shuffling even if all image pixels are same. Further, Confusion is based on intertwining logistic map to enhance sensitivity with respect to key or data. Finally, coupled map lattice based diffusion model is used to modify the image pixels such that even a small change in one pixel of the original image affects most of the pixels in encrypted image. The proposed hybrid encryption model enhances security and provides negligible correlation among pixels of cipher image and high NPCR, UACI scores. The performance matrices of the proposed diffusion model enhance the performance as compared with other diffusion models used in image encryption methods.

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