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...

Examples

Embodiment Construction

[0078] The invention uses the CS block Hadamard matrix to randomly project image blocks, and then divides the observed image into two parts, non-smooth and smooth, according to the energy of the observation vector for training and classification, and finally iteratively updates the classification dictionary to detect whether the image contains secret information And determine the location of secret information.

[0079] The robust universal steganographic analysis method for image content perception of the present invention is based on the CS technology principle, and is divided into a digital image content test training and a digital image content classification and judgment process. Based on the CS technology principle, it includes the following content:

[0080] (1) Compressed sensing block processing of images:

[0081] Let the digital image signal X∈R N is a signal of length N obtained from M sampled signals, and M<<N. Then, to measure signal Y:

[0082] Y=AX (1)

[0...

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...

Examples

Embodiment Construction

[0078] The invention uses the CS block Hadamard matrix to randomly project image blocks, and then divides the observed image into two parts, non-smooth and smooth, according to the energy of the observation vector for training and classification, and finally iteratively updates the classification dictionary to detect whether the image contains secret information And determine the location of secret information.

[0079] The robust universal steganographic analysis method for image content perception of the present invention is based on the CS technology principle, and is divided into a digital image content test training and a digital image content classification and judgment process. Based on the CS technology principle, it includes the following content:

[0080] (1) Compressed sensing block processing of images:

[0081] Let the digital image signal X∈R N is a signal of length N obtained from M sampled signals, and M<<N. Then, to measure signal Y:

[0082] Y=AX (1)

[0...

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