Joint Use of RSA and Genetic Algorithm to Improve the Process of Image Encryption and Information Hiding

In this paper, the combined use of cryptography and information hiding in the image is discussed. First, the RSA method is used to perform encryption information. Secondly, steganography for the encrypted information has been used by genetic evolutionary algorithm (GA). Also, the evolutionary GA is used to find the best bit string length in order to maximize the peak signal-to-noise ratio (PSNR). A graphical user interface (GUI) has been provided to apply the proposed method to sentences of different lengths in four different images to obtain the mean squared error (MSE) and PSNR benchmarks relative to changing the image size and compression rate on the receiving side. In the proposed algorithm, the encryption sentences have been applied 10 times on the data by the proposed algorithm to improve the key strength. The simulation results showed higher efficiency of about 28.57 percent better than normal AES, 15 percent better than DSA, 18.01 percent better than ECC and about 7.76 percent better than RSA.