The exponential rise of multimedia data transmission in the digital era highlights the imperative for robust security protocols to safeguard sensitive information against unauthorized access and cyber threats. Conventional cryptographic techniques, while effective for text, often face challenges when applied to image data due to its inherent redundancy and high pixel correlation. To solve these challenges, this research presents a multi-layered encryption framework that integrates steganography for secure embedding, Henon chaotic mapping for shuffling, and a Reframed RSA (RRSA) algorithm for encryption. The framework was assessed using severe security metrics, including entropy analysis, correlation analysis, encryption quality assessment and NIST randomness tests. Results showed that the encrypted images exhibited high randomness, indicating strong diffusion properties. Correlation and histogram analyses confirmed the effective disruption of statistical dependencies and patterns. Additionally, NIST randomness tests validated the robustness of the encryption. Compared to existing methods, the proposed approach demonstrated significant improvements in diffusion, resistance to statistical attacks and computational efficiency. This study presents a scalable and adaptable hybrid encryption solution, addressing key limitations of conventional techniques while ensuring secure multimedia data transmission in an increasingly digital world.