A Comparative Study on Image Steganography based on Deep Learning

Abstract

With the expansion and growth of technology in a sophisticated and noticeable way the protection of transmitted data has come to be one of the most important and prominent issues that have occupied specialists in the purview of data security. one of the most prominent fields used in information security is the technology of images steganography, as this technology enables us to hide data in images in a secret manner so that no one can notice it. Deep learning technology has gained more attention lately as it has become a potent tool in many applications, such as image steganography to secure and protect data transferred. this scientific paper aims to investigate and debate the different deep learning techniques that are available in the purview of image steganography. Image steganography deep learning techniques can classified into three  principal groups: CNN-based, GAN-based, and traditional methods.