Color Image Encryption Method based on Three-Dimensional Chaotic Map and Nature-Inspired Osprey Optimization Algorithm

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Gagandeep Kaur, Yeshpal Singh, Prateek Bhadauria, Ajay Kumar, Jatinder Pal Singh


In this research, an encryption method is designed to secure multimedia images from various threats on the internet. In the proposed method, color images are taken as secret data, and random key generation is done using the three-dimensional (3-D) chaotic logistic map. In the 3-D chaotic logistic map, several input parameters are involved, and if their optimal parameter value is determined, it generates a completely random key to encrypt the secret images. In this research, the metaheuristic osprey optimisation algorithm is utilised to determine the best parameter value of the 3-D chaotic logistic map. The osprey optimisation algorithm is based on hunting the fish and carrying the fish to a suitable position to eat. This algorithm requires minimum internal parameters and provides a better exploration and exploitation rate to find the best solution for a given problem. Besides that, in this research, a multi-objective function is designed with the help of entropy and structure similarity index measures (SSIM) to find the parameter value of the chaotic map. After determining the parameter value, the exclusive-OR operation is performed. After that, each row and column of the color image is circularly rotated according to their row and column index to achieve the permutation in the secret image. The standard dataset of the USC-SIPI Image database is taken for evaluation purposes, and its subjective and objective analysis is done. The result shows that the proposed method achieves better performance when compared with the existing methods.

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