Spatial-domain image steganography method and system based on generative adversarial network

Abstract

The invention discloses a spatial-domain image steganography method and system based on generative adversarial network. The carrier image is converted into a probability graph through the generation network of a U-shaped structure, and then the probability graph is coded by utilizing a hyperbolic tangent coding module, a tampering point graph is generated, and the carrier image and the tampering point graph are added to generate a secret-carrying image; and then a steganography analysis network is used for distinguishing the carrier image and the secret-carrying image, and the classification result is fed back to the generation network in an error mode; and finally, the trained generation network and the coding module are combined together, as a final spatial-domain image steganography model, the carrier image is input into the whole model, and the secret-carrying image is output. The invention further discloses a space-domain image steganography system based on the generative adversarial network, and the system includes a generation network module, an encoding module and an image steganography module. According to the spatial-domain image steganography method based on the generative adversarial network, the security is obviously improved, and the design is simple.

Description

technical field [0001] The present invention relates to the field of information steganography, and more specifically, to a method and system for spatial image steganography based on generative adversarial networks. Background technique [0002] In the covert communication technology, there are two commonly used methods, one is cryptography, the sender encrypts the secret information through encryption technology, and the information is transmitted in the form of ciphertext, and the receiver uses the decryption algorithm and key to transmit the information after receiving the information. Interpreting ciphertext into plaintext, the attack on cryptography is called deciphering; the other is steganography, where the sender hides the secret information in the carrier and spreads it through open channels. After the receiver receives the carrier containing the secret information , to extract the secret information from the carrier. The opposite of steganography is steganalysis, w...

AI Technical Summary

Problems solved by technology

Since image steganography and steganalysis are two aspects of mutual game and mutual confrontation, the generative adversarial network in deep learning provides new ideas for image steganography and steganalysis, but considering the security and self-sufficiency of steganography Adaptability, the field of spatial image steganography still does not have a good solution

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