AN ADAPTIVE CROSS-MEDIA STEGANOGRAPHY FRAMEWORK FOR INTELLIGENT HIDING MEDIUM SELECTION

Abstract

Most of the steganography techniques now in use, use single carrier media and fixed embedding techniques, which impairs performance under different payload sizes and channel circumstances. This study suggests a dynamic cross-media steganography framework based on payload and channel analysis to get around these restrictions. In order to choose the best hiding medium and embedding technique, the suggested system intelligently evaluates payload size and channel conditions. When compared to traditional steganography techniques, experimental results demonstrate enhanced imperceptibility, embedding capacity, and robustness. This offers a single steganography system that can handle various payload sizes without the need for human interaction.