Style conversion-based security image steganography method and electronic device

Abstract

The invention discloses a style conversion-based security image steganography method and an electronic device, and the method comprises the steps: inputting secret information, a content image and a style image into a first convolution network, and generating a secret-carrying image; according to the invention, the secret-carrying picture is generated by directly using the neural network technology, the corresponding relationship between the carrier picture and the secret-carrying picture is hidden, and the secret information is directly hidden into the style texture, so that the secure transmission of the secret information is realized; the limitation on the size of a carrier picture is overcome, and the universality of the method is improved.

Description

technical field [0001] The invention relates to the technical field of information security, in particular to a method for secure image steganography based on style conversion and an electronic device. Background technique [0002] As an important branch of information hiding, steganography can achieve the purpose of covert communication by embedding secret messages into multimedia files (such as digital images, audio, video, text, etc.). The multimedia files before and after steganography are visually and statistically indistinguishable, so they will not arouse the suspicion of the attacker. With the development of digital technology, image information is becoming more and more abundant on the Internet. The secret information transmitted through images is not easy to arouse the alert of the other party. Moreover, due to the advantages of abundant data and universal application, images have gradually become a popular secret communication carrier. [0003] Traditional image ...

AI Technical Summary

Problems solved by technology

However, these methods have the problems of poor imperceptibility and small steganographic capacity, and the performance indicators need to be further improved.

[0005] In general, although the existing information steganography methods have achieved high data transmission security, in image steganography, secret information is hidden by modifying some specific pixels or coefficients of the carrier image, resulting in pixels or The correlation between the coefficients changes, there is a risk of being detected by the steganographic detection algorithm

However, the mainstream steganalysis algorithm uses the classifier trained by the secret image and the corresponding carrier image to identify the embedded information, so the steganographic generation method still has a great security risk, and the security needs to be further improved.

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