Abstract
The traditional information hiding is realized by embedding the secret information into the multimedia, but it will inevitably leave the modification mark in the carrier. This paper proposed a new method of coverless information hiding. First, the improved Wasserstein GAN (WGAN-GP) model is constructed, and the model is trained with disguised images and secret images. Then, after the model is stable, a disguised image is passed to the generator. Finally, the generator generates the image that is visually the same as the secret image, thereby achieving the same effect as transmitting the secret image. Experimental results show that this method not only has a good effect on the security of secret information transmission, but also increases the capacity of information hiding.
Highlights
The rapid development of computer network technology has enabled multimedia information such as videos, texts, and images to be transmitted quickly on the network
Steganography is used for the transmission of secret information, while digital watermarking is used for copyright protection and other scenarios [2,3,4]
The Wasserstein GAN (WGAN)-gradient penalty (GP) model is used for image information hiding, and the image is input into the generator instead of random noise
Summary
The rapid development of computer network technology has enabled multimedia information such as videos, texts, and images to be transmitted quickly on the network. Information hiding technology is an important modern information security technology It is a method of transmitting secret information by hiding secret information in texts, images, videos, and other carriers [1]. Adaptive embedding strategy [17] can automatically embed secret information into the texture and noise-rich image region, so as to maintain complex higher-order statistical features [18]. High-order statistical characteristics based on complex correlation modeling in image domain have become the main research characteristics of steganalysis [19]. Neural network is introduced into the research of image information hiding. The WGAN-GP model is used for image information hiding, and the image is input into the generator instead of random noise.
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