Digital Communication Based on Image Security Using Grasshopper Optimization and Chaotic Map

Encryption is very important to protect sensitive data, especially images, from any illegal access and infringement. this research is presented to provide an image encryption optimization method for communication based on image security. this method uses the grasshopper optimization algorithm to perform optimal encryption and irregular logical mapping. initially, this approach creates multiple encrypted images and a chaotic map, in which the session key for the initial conditions of the map depends on a simple suspended image. after that, the encrypted images work as an initial and particles set for optimization through the grasshopper optimization algorithm. the optimized encoded image with the correlation coefficient of the continuous pixels is expressed as a function of proportion. the results from matlab simulation of the proposed encoding method show that the encrypted images are the same, and the adjacent pixels are highly correlated with other outstanding encoding rows, such as planar histogram entropy and effective pixel rate of change average correction strength.