A Hyperchaotic Image Hiding Scheme for Consumer Electronics Based on Enhanced Lagrange Interpolation and BCH Coding Optimization

With the increasing prevalence of IoT devices, security risks associated with image transmission have become more prominent. This paper proposes an efficient encryption scheme that integrates a two-dimensional hyperchaotic model with adaptive steganography. To address the weaknesses of traditional systems, such as insufficient chaotic behavior and inadequate security, an encryption framework incorporating a double-reset shuffle-diffusion mechanism is constructed. This mechanism enhances security through nonlinear chaotic sequences. Additionally, chaotic perturbation BCH coding is introduced to improve anti-attack capabilities. An adaptive embedding method based on enhanced Lagrangian interpolation is also proposed, and the PSO algorithm is employed to dynamically optimize the hiding strategy under a 3 BPP load. Experimental results demonstrate the scheme’s excellent performance: in terms of encryption, NPCR reaches 99.6238%, UACI is 33.3930%, and the key space is 2640; in terms of steganography, PSNR is 47.49 dB and SSIM is 0.9965, both surpassing the benchmark method. This approach offers an innovative solution for the coordinated optimization of security and transmission efficiency in consumer electronics.