A generative image steganography method based on an adversarial network

Abstract

The invention particularly relates to a generative image steganography method based on an adversarial network, which comprises the following steps: a rule table is established, and secret informationto be hidden is converted into coordinate information according to the rule table; According to a two-point one-line principle, a ciphertext generator is established, and ciphertext coordinate point information is obtained; The sender randomly selects the ciphertext coordinate point information, replaces the label information with the ciphertext coordinate point information, inputs the ciphertextcoordinate point information into the generator, and generates a transfer image of a specified category; After receiving the transmission image, the receiver inputs the transmission image into a discriminator to obtain a category label, and then ciphertext information can be extracted; Decrypting is performed to obtain hidden coordinate information according to a two-point one-line principle; Andhidden secret information is obtained by comparing with the rule table, and information extraction is realized. According to the method, steganalysis detection based on statistics can be fundamentallyresisted, the safety of information transmission is improved, and meanwhile the steganalysis resisting capability is greatly enhanced.

Description

technical field [0001] The invention belongs to the field of information security systems, and in particular relates to a generative image steganography method based on an adversarial network. Background technique [0002] With the rapid development of the Internet and communication technology, a large number of network communications require the transmission of information in a covert manner, so steganography has been developed rapidly, which greatly solves the problem of concealment of communication information during transmission. [0003] According to the method of embedding secret information, steganography can be divided into: carrier modification, carrier selection and carrier synthesis. Carrier modification is the most common method of traditional information hiding, but the secret carrier will always leave modification traces, which makes it difficult to fundamentally resist the detection of statistical analysis algorithms; carrier selection is based on the secret i...

AI Technical Summary

Problems solved by technology

Carrier modification is the most common method of traditional information hiding, but the secret carrier will always leave modification traces, which makes it difficult to fundamentally resist the detection of statistical analysis algorithms; the carrier selection is based on the secret information in the normal image library. Select the image to send without modifying the original carrier information, avoiding the threat of the existing steganalysis technology, but because the load of this method is too low, the actual application effect is poor; the carrier synthesis method combines the advantages of the first two methods, but Due to technical limitations, this method only stays in the theoretical concept, because it is very difficult to synthesize a large number of samples that meet natural characteristics

Images