Double chaotic image encryption algorithm based on optimal sequence solution and fractional transform

Abstract

In order to solve the shortcomings of the traditional chaotic encryption and problems of low security, the double chaotic image encryption algorithm based on fractional Fourier transform is proposed. In this algorithm, the optimization algorithm is obtained with the help of Henon mapping and fractional Fourier transforms, then the ciphertext image obtained by the optimization algorithm is taken as input, and according to the sequence of the optimal solution, the logistic chaos is synthesized to obtain the final ciphertext image. This algorithm combines chaotic systems and Fourier transforms, which allows the plaintext to be well hidden, and spatial and frequency domain scrambling is achieved. After experiments, the results show that the improved encryption algorithm achieves better encryption effect. It not only has strong sensitivity and large key space, but also can resist attacks effectively. It has certain application value in image information security.