Low-disturbance information security steganography encoding method based on Chinese remainder theorem

Abstract

The invention provides a low-disturbance information security steganography encoding and decoding method based on the Chinese remainder theorem. The coding comprises four steps: 1) initializing a system based on an image C, to-be-embedded information M and a hidden key K; 2) pre-coding the hidden information M based on the Chinese remainder theorem, and carrying out selective optimization; 3) pre-coding the scrambled and mapped information to be hidden in C to obtain S; and 4) recovering hidden information M from the S based on the shared information. According to the invention, the output result is marked in each line and each column of CPs, and at most only the LSB of one CP is marked, so that the marked S image quality can be obviously improved. At most one LSB is marked in each row andeach column of CPs, and with the increase of the C size, the improved gain of the image quality and the hidden capacity can be obtained at the same time. The hidden operation based on two-dimensionalrandom mapping can avoid the scanning attack aiming at the statistical characteristics of the LSB marking method.

Description

technical field [0001] The invention belongs to the field of information steganography in information security technology, and specifically relates to a steganography method based on image size and position information of image pixels in a matrix as auxiliary information. Background technique [0002] Information steganography is a kind of information security technology. Information steganography technology can hide binary information in various electronic media coding redundancy. The electronic media used for steganography can be video, audio, bitmap, compressed image, etc. The cost is a certain distortion, which must be based on the distortion Information steganography technology can hide sensitive private data in media so that it cannot be detected. More and more Internet applications, including mobile Internet applications, rely on convenient and fast third-party platforms for private data storage, transmission, computing and other operations. While the application br...

AI Technical Summary

Problems solved by technology

That is, the single-pixel embedding capacity is limited, and the image quality cannot be effectively improved as the image size becomes larger.

In other words, the image is somewhat redundant and not fully utilized

Images