Holographic encryption algorithm based on the new integrated chaotic system and chaotic mask

Abstract

Image encryption algorithms based on chaos theory have rapidly developed in recent years, with many achieving encryption by confusion-diffusion structures. However, the security performance of these algorithms needs to be improved. This paper proposes a holographic encryption algorithm based on the new integrated chaotic system and chaotic mask. The improved Gerchberg-Saxton algorithm transforms plaintext images into pure-phase holograms. The chaotic masks generated by the new integrated chaotic system decompose holograms into sub-images. The sub-images are pixel-wise heterogeneous operations and are finally merged into the complete encrypted image. Compared with one-dimensional chaotic mapping, the generation of NICS is related to kinoform, which enhances the system's key sensitivity. The chaotic mask chunking method can generate random chunk locations and sizes, effectively preventing attacks against specific chunking rules. The performance analysis shows that the algorithm has a higher key space and security to resist stronger robustness attacks.