Enhancing security in resource-constrained environments: a fast multiple image encryption technique

We present a new and effective method for encrypting multiple images in a single encryption process, utilizing the principles of chaos theory. The suggested method is different from other multiple-image encryption systems because it combines an fast Fourier transform (FFT)-shift-based permutation operation with a synchronous permutation-diffusion operation. This feature excels in scenarios where resources are scarce. Combining permutation and diffusion processes significantly improves the algorithm's speed. First, all the components of the color image are combined to create a larger image. Next, the large image is divided into blocks of the same size. Afterward, the synchronous permutation-diffusion process is implemented on each block. The encryption algorithm is both rapid and effective due to its use of FFT shifts and synchronous permutation-diffusion operations. Furthermore, the technique becomes more efficient by utilizing two different types of permutation operations: block selection and FFT shifting. The approach's high effectiveness in software and suitability for hardware stems from its lightweight computational design, which uses a single 1D chaotic map with different control parameters and initial values multiple times during the permutation and diffusion phases. According to the findings of the security study and simulation, the suggested approach proves to be efficient in encoding and significantly enhances the security of cipher images.