using magic square chaotic algorithm and dna for ‎evolutionary-based image encryption operators

‎the development of digital technologies has improved the transfer of data over the internet in recent years. image encryption is a technique to ensure security in information transfers. the current paper presents an evolutionary model on the basis of a hybridization of dna biomolecule operators and the ls2 map ‎chaos function for encryption of image. the model proposed here includes three stages. in the initial stage, the msc (magic square chaotic) algorithm and a secret key are utilized with the sha-256 algorithm t‎o determine the initiating the ls2 map function value, which is then employed to manipulate the pixels of the image. then, dna biomolecule operators and the chaos function are used for propagation. additionally, the previous stages process is iterated with the starting population of the genetic algorithm in the third stage. afterward, the optimization is carried out through genetic algorithm operators. the results indicate ‎that the introduced model is superior to other rivals. furthermore, as for the high level of entropy obtained, the model exhibits strong resistance to common attacks.‎