Construction of Hyperchaotic Maps Based on 3D-CCC and its Applications in Image Encryption

The security performance of chaos-based image encryption algorithms heavily depends on the complexity of the underlying chaotic system. To enhance encryption effectiveness, it is crucial to design chaotic systems with improved dynamic properties. This paper proposes a novel approach, the 3D Cascaded Cross-Coupling Method (3D-CCC), for constructing 3D hyperchaotic systems by combining three one-dimensional chaotic systems, which can be identical or different. Using this method, we develop a new 3D hyperchaotic map, 3D-ICCCLS, which exhibits superior chaotic characteristics, including good ergodicity, randomness, positive Lyapunov exponents, and high spectral entropy. Furthermore, we introduce a color image encryption algorithm based on 3D-ICCCLS. The proposed scheme treats the three color channels as an integrated unit, employing cross-channel bit mixing followed by simultaneous permutation and diffusion. This approach achieves a strong encryption effect in a single round. Experimental results demonstrate that the algorithm provides a large key space, high key sensitivity, and strong resistance against common attacks,