Image encryption model based on tent map and JAYA algorithm Available to Purchase

The main motive of this research is to design an efficient image encryption method. To achieve this goal, the chaotic tent map algorithm is taken into consideration for secret key generation. In the tent map algorithm, the control parameter μ plays an important role for key generation. Therefore, the optimal value of μ parameter is determined using the JAYA algorithm. JAYA is a metaheuristic algorithm that determines the optimal value by putting the random value of μ parameter in the tent map algorithm based on the objective function. The beauty of the JAYA algorithm is that it does not require any parameter tuning, is simpler, and provides a better convergence rate to find the optimal solution. After determining the optimal parameter value, a secret key is generated. Further, exclusive-OR and circular shifting are performed for image encryption. The performance analysis is performed on different images. The subjective analysis provides a better noisy image, and the objective analysis shows a low PSNR, a high correlation coefficient, a high value of entropy, a maximum deviation, and a mean square error.