An image encryption algorithm based on a novel two-dimensional hyperchaotic map and difference algorithm

Currently, many existing image encryption algorithms have encountered challenges in achieving robustness and efficiency, mainly due to insufficient scrambling or inadequate diffusion mechanisms. These limitations can lead to vulnerabilities, making encrypted images more susceptible to attacks and reducing overall security. To address these issues, this paper proposes a new image encryption algorithm (MCLCM-IEA) based on a novel two-dimensional hyperchaotic map (2D-MCLCM). This algorithm integrates a difference algorithm during diffusion and a double-pointer algorithm during scrambling. Additionally, to enhance the security of cipher images, we introduce a plaintext-related weight matrix, which not only expands the key space of MCLCM-IEA but also strengthens its overall security. Benefiting from the superior chaotic properties exhibited by 2D-MCLCM, the strong diffusion efficiency got from the difference diffusion algorithm, and the effective scrambling provided by the double-pointer algorithm, MCLCM-IEA performs exceptionally well in simulation experiments. The results demonstrate that MCLCM-IEA can effectively resist various illegal attacks and showcase robust security and high efficiency.