Image steganography method and system based on generative steganography confrontation

Abstract

The invention discloses an image steganography method and system based on generative steganography confrontation, and the method comprises the steps: constructing a generative steganography confrontation model which comprises a generative network, a steganography device, a discrimination network and a steganalysis network, enabling the generative network to convert an original image into a carrier image, enabling the steganography device to embed a secret image into the carrier image, and obtaining a secret-carrying image, wherein the discrimination network judges the authenticity of the carrier image, and the steganalysis network judges whether the secret carrying image contains secret image information; respectively constructing loss functions of the generative network, the discrimination network and the steganalysis network according to judgment results of the discrimination network and the steganalysis network, and performing adversarial training on the generative network, the discrimination network and the steganalysis network according to the loss functions of the generative network, the discrimination network and the steganalysis network to obtain a trained generative steganalysis adversarial model; and obtaining a steganographic image corresponding to the original image based on the trained generative steganographic adversarial model. A carrier image with high visual quality is generated, and the security of carrier image information hiding is improved.

Description

technical field [0001] The invention relates to the technical field of image steganography, in particular to an image steganography method and system based on generative steganographic confrontation. Background technique [0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art. [0003] Information hiding is one of the important technologies to ensure information security, which can imperceptibly hide secret information into the carrier. Information hiding can not only ensure the security of data itself, but also ensure the safe transmission of data. Steganography is an important method in the field of information hiding. In order to successfully transmit secret information, the sender uses the insensitivity of the human visual system to some areas of the digital image to hide the secret information in the carrier image in an invisible way, so that It will not arouse the suspi...

AI Technical Summary

Problems solved by technology

[0006] In the existing generative steganography technology, the visual quality of the generated image is not high enough to meet the requirements of practical use; the method of adding adversarial samples to the carrier image needs to retrain each input image, which is only suitable for a small number of images ; Divide the carrier image into regions, embed secret information in some regions, add adversarial samples to some regions, only enhance part of the image, and increase the risk of being recognized by the steganalyzer

[0007] In the existing embedded steganography technology, although the embedded steganographic model based on automatic learning distortion function (ASDL-GAN) can automatically find safer pixels in the carrier for embedded steganography, but the security is low

[0008] In the existing unsupported image steganography technology, the steganographic image generated by the steganographic network model based on DCGAN does not need to be embedded and modified, and will not be discovered by the attacker, but the steganographic capacity is small, and the generated image is not real enough. And other issues

Coverless image steganography methods based on Auxiliary Classification Generative Adversarial Networks (ACGAN) still have low hidden capacity due to the limited number of class labels

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