Hiding Audio in Images Using Generative Adversarial Network

Steganography is the activity of covertly encoding information into another medium (which is referred to as a “cover medium”) in such a way that its presence cannot be established. Steganography is the technique that is applied in order to do this assignment in a fruitful manner. One is possible to attain the capability of secure communication by making use of digital picture steganography, which is essential in the great majority of applications that are being built at current moment. The application of steganography can be useful in a broad range of different contexts, which is desirable. Its elevation to the forefront of today's security systems may be traced to a confluence of factors, including a remarkable development in processing power and a heightened awareness among individuals of the need to secure their personal information. Both of these causes contributed to its ascent to the forefront of today's security systems. When it comes to the development of a steganographic approach, the most major obstacle that has to be conquered is locating the best balance between the amount and quality of the information to be steganographed. The capability of the technology to embed information, in addition to the fact that it is invisible to the naked eye, differentiates it from connected systems such as encryption and watermarking. These are two examples of linked systems. This article demonstrates how to Using the GAN algorithm to hide the sound inside the photos, without the appearance of a change in the shape of the images through the use of the least important bit approach, so that the sound may be incorporated in the image without unknown parties being aware of its presence.