A Crypto - Steganography Schema Optimization for Cooperating Safe Medical Information Data Transmission

An improved image steganography method is introduced in this study, with the intention of enhancing three critical criteria: high capacity, security, and imperceptibility. The proposed method evaluates the performance of a novel concealing technique that is utilized to obscure secret communications within trusted images in comparison to established benchmarks. Furthermore, the research paper presents an Inverting Map method (IMM) that has been specifically developed to optimize Peak Signal-to-Noise Ratio (PSNR) and increase storage capacity, thereby preserving the integrity of the images. In addition, security is improved through the incorporation of random and Henon map algorithms, which increase the complexity and selection of pixels, thus fortifying the system against potential assaults. The cover image's dynamic characteristics, in conjunction with adaptive pixel modifications, guarantee resilience against a multitude of attack vectors. The study establishes the efficacy of the proposed method in attaining high capacity, security, and imperceptibility for image steganography applications via exhaustive experimentation and evaluation.