Abstract
To fundamentally resist the steganalysis, coverless information hiding has been proposed, and it has become a research hotspot in the field of covert communication. However, the current methods not only require a huge image database, but also have a very low hidden capacity, making it difficult to apply practically. In order to solve the above problems, we propose a coverless information hiding method based on the generation of anime characters, which first converts the secret information into an attribute label set of the anime characters, and then uses the label set as a driver to directly generate anime characters by using the generative adversarial networks (GANs). The experimental results show that compared with the current methods, the hidden capacity of the proposed method is improved by nearly 60 times, and it also has good performance in image quality and robustness.
Highlights
Traditional information hiding methods mainly take advantage of the redundancy of carrier and modify it according to agreed rules to embed secret information into the carrier in an invisible way [1,2,3,4,5]
The existing coverless information hiding (CIH) methods include image selection methods, semi-creative methods based on texture synthesis, and creative methods based on generative adversarial networks (GANs) [8]
In order to generate a stego-image that can express arbitrary secret information, this paper proposes a CIH method based on the generation of anime characters
Summary
Traditional information hiding methods mainly take advantage of the redundancy of carrier and modify it according to agreed rules to embed secret information into the carrier in an invisible way [1,2,3,4,5]. As long as the carrier is modified, the modification traces will be left, and it is possible for steganalysis algorithms to detect the existence of hidden behavior successfully. In order to make the information hiding methods fundamentally resistant to steganalysis [6], scholars in the field of information hiding have proposed the concept of coverless information hiding (CIH) [7]. Compared with the traditional methods, CIH methods directly generate or retrieve the stegocarriers based on the secret information without modification. Image selection methods need to establish a large-scale natural image database in advance, and retrieve the natural images that can express secret information as stego-images. The image selection methods directly transmit secret information with natural images, which can fundamentally resist the detection
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