A robust general steganalysis method for image content awareness

Abstract

The invention aims to provide a robust general steganalysis method for image content awareness. The method of the invention can better utilize the advantage of the CS technology to process digital images, and further improve the data processing efficiency and the classification judgment precision of the steganalysis. The method comprises the following steps: (1) setting the size N, a block size B and a measured value M of a digital image X; (2) determining a 9 / 7-Haar DWT sparse matrix Psi; (3) determining a Hadamard measurement matrix PhiB of the BCS; (4) dividing a digital image into B*B blocks and calculating a measurement vector yi and the measurement data Y of the entire image X; calculating the measurement vector yi of the i-th image block and the measurement data Y of the entire image X according to the Hadamard measurement matrix PhiB ; and (5) dividing the image into a smooth part and a non-smooth part as a perceived result; (6) a training process; 7) a classification process; 8) a judgment and analysis process; and 9) repeating iterative search until the entire image data is detected.

Description

technical field [0001] The invention relates to network information security, in particular to a robust general steganalysis method for image content perception. Background technique [0002] Steganalysis technology is an important part of network information security, and its most fundamental problem is to judge whether the digital carrier carries secret information. Steganalysis is an anti-information hiding technology, and it is a data transformation attack on steganography. Its purpose is to detect the existence of secret messages in steganography, extract secret information, and identify and destroy confidential communications. However, most of the existing general blind detection methods do not consider the influence of image content on the performance of steganalysis, and do not consider the hidden information blind detection method under attack conditions. Therefore, the technical problems to be solved by the present invention are: [0003] (1) For different image c...

AI Technical Summary

Problems solved by technology

However, most of the existing general blind detection methods do not consider the influence of image content on the performance of steganalysis, and do not consider the hidden information blind detection method under attack conditions. Therefore, the technical problems to be solved by the present invention are:

But in fact, the embedding of the secret message changes the correlation between the adjacent pixels of the image, so it also changes the complexity of the image, and the carrier and the corresponding secret image may not be in the same class; and the classification method using the average classification is only Simply performing an average classification according to the range of image complexity and the categories to be divided into, it cannot guarantee the best detection performance for each category

[0009] (2) Steganalysis of multi-classifier blind detection framework: This method only uses the non-zero AC (Alternating Current, AC) coefficient ratio of JPEG image as the image multi-classification feature, which cannot describe the diversity of image content well, let alone Determining where secret information resides in classified images

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