Image steganalysis method and system based on convolutional neural network

Abstract

The invention discloses an image steganalysis method and system based on the convolutional neural network. The system comprises an image preprocessing part, a feature extraction part and a feature classification module. In the image preprocessing part, a group of Gabor filters with multiple directions and multi-dimension parameters is selected by experiments, and an image residual error with highsignal to noise ratio is obtained by input image convolution; and in the feature extraction part, a rapid connection structure is used to connect output of a shallow layer with a behind layer directlyto reduce a fitting phenomenon. The steganalysis method based on the convolutional neural network does not need a lot of knowledge in the fields of steganography and steganalysis, feature extractionand feature classification form a combined optimization process, design is simple, and enforcement is easy; the scale and direction properties of the Gabor filters can be used to help extract the image residual error from the network more effectively; and the method and system have better detection effects for adaptive steganography algorithms of J-UNIWARD and UED contents.

Description

technical field [0001] The invention belongs to the field of image steganalysis, and more specifically relates to an image steganalysis method and system based on a convolutional neural network. Background technique [0002] With the continuous development of Internet technology and image processing technology, digital images have become one of the most widely used information transmission media in daily life. People can upload and download massive digital images on the Internet, but this also gives criminals an advantage. Once criminals use computer technology to steal personal privacy, business secrets and national intelligence through digital images on the network, it will cause very bad effects. Therefore, the security credibility of digital images has become a hot issue in the field of information security. [0003] Digital image steganography technology is an important part of information hiding technology. Unlike information encryption technology, which encrypts orig...

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Problems solved by technology

[0005] In order to solve the defects of the existing JPEG steganalysis method based on convolutional neural network, the present invention selects a group of Gabor filters with multi-directional and multi-scale parameters to convolve with the input image to obtain an image with high SNR Residual, which is also the first method to use Gabor filter to extract residual in JPEG steganalysis network preprocessing part

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