Robust Image Steganography against Differential Attacks Using GA-Optimized LSB Embedding
Recently, in the science of data hiding, most research papers propose several techniques to conceal data inside the images and ensure secure mediums such as text, images, audio, and videos with preserving its quality. Researchers have been interested in the last decade of these techniques in image steganography and cryptography, this research proposed a system that uses multiple layers of security in which steganography and cryptography are together to enhance security. This study aims to present a new efficient technique for hiding a gray image inside a blue layer of color image by combining the genetic algorithm (GA) with the Least Significant Bit (LSB) approach to optimal solution permutation for embedding pixel assortment of the image where data is to be concealed. This technique offers immovability differential attacks that are evaluated by several performance metrics. According to experimental findings, the stego and the cover image are visually indistinguishable. PSNR, MSE, and SSIM are used as measurement matrices. Our aim passed a successful test of robustness against experimental analysis.