Generative Image Steganography Scheme Based on Deep Learning

The popularity of the Internet and the development of multimedia technology have made it easier to store, modify, and share digital multimedia information (text, audio, video, etc). Because multimedia data contains some personal information, if this information is intercepted and stolen by an illegal third party, resulting in the public transmission of the information on the Internet, then the personal contact between the communicating parties will no longer be private. Therefore, how to ensure communication privacy and information security has always been an important issue that is difficult to get rid of in the development of the Internet. This paper studies the generative image steganography scheme based on deep learning, understands the related theories of image steganography and deep learning based on the literature, and then designs the generative image steganography scheme based on deep learning, and the designed scheme is tested, and the test results show that the steganography scheme designed in this paper has better performance in accuracy. Compared with the traditional scheme, the difference between the two is up to 4%.