Blind steganalysis method based on symmetric neighborhood information

Abstract

The invention discloses a digital image steganalysis method based on airspace characteristics. The digital image steganalysis method comprises the following steps of: calculating pixel grey scale differential value information of a digital image (with marked class information) in a training set in a symmetric neighborhood in multiple directions; carrying out processing and rotational invariance encoding on the pixel grey scale differential value information; calculating a histogram of encoded information, and normalizing the histogram to be taken as a characteristic; carrying out training and classifying on the extracted characteristic to obtain a classifier model; calculating the neighborhood information of randomly inputted digital images to extract characteristics; and inputting the extracted characteristics into the classifier model to obtain class information of the inputted images. The digital image steganalysis method disclosed by the invention has the characteristic of no needing of analyzing specific steganography, and is a universal method so as to be capable of being widely applied to universal (blind) steganalysis of the digital images.

Description

technical field [0001] The invention relates to the fields of image forensics and network information security, in particular to a blind steganographic analysis method based on symmetrical neighborhood information, which is used for detecting information hiding of digital images using steganography. Background technique [0002] The 21st century is an era of digitalization. With the rapid development of computer and multimedia technology, people are increasingly inseparable from digital media. Digital media is the most important avenue in today's society. On the Internet, information is disseminated between individuals, between individuals and groups, and between groups through digital media. In addition to the information carried by themselves, digital media can also be used to hide secret information, thereby relying on the public channels to spread bad information, or to engage in covert communications. Because information hiding technology can be used by criminals as a...

AI Technical Summary

Problems solved by technology

According to the required conditions for use, there are currently two methods for detecting hidden information in images, blind detection and non-blind detection. The non-blind detection method uses the characteristics of a specific information hiding algorithm to detect a specific steganographic method. Therefore, it can be used for specific algorithms, but not for other steganographic methods other than this steganographic method

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