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A general steganalysis method for digital image feature perception

A technology of steganalysis and digital image, applied in the field of information security, to achieve the effect of equal time-consuming, improved accuracy and improved effectiveness

Inactive Publication Date: 2019-04-26
GUANGDONG POLYTECHNIC NORMAL UNIV
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Problems solved by technology

The present invention solves the problem of recognition accuracy of secret information in JPEG images under different embedding rates by analyzing the current status of multi-domain feature general steganalysis based on Markov model

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  • A general steganalysis method for digital image feature perception
  • A general steganalysis method for digital image feature perception
  • A general steganalysis method for digital image feature perception

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Embodiment Construction

[0049] The emergence of Compressed Sensing (CS) theory in signal processing has aroused special attention in the academic circles. The CS theory was initiated by Donoho, Candes, academician of the American Academy of Sciences, and Tao Zhexuan, a Chinese mathematician who won the Fields Medal, and formally proposed the concept of compressed sensing in 2006 [see: [D.Donoho. "Compressedsensing," IEEE Transaction on Information Theory, vol.52, No.4, pp.1289-1306, 2006.], [D.L.Donoho, Y.Tsaig. "Extensions of compressed sensing," Signal Processing, vol.86, no.3, pp.533 -548, 2006.], [E.Candes and M.Wakin. “Anintroduction to compressive sampling,” IEEE Signal Processing Magazine, vol.25, no.2, pp.21-30, Mar.2008.]]. Its principle is to combine the compression and sampling of multimedia data, and its core technology is the sparse transformation of the signal, the non-correlated measurement matrix of the sparse signal and the reconstruction algorithm of the signal. It breaks through t...

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Abstract

The invention is to provide a digital image feature perception general steganalysis method, which comprises the following steps: 1) in a data sampling layer, for multi-dimensional signals of a stego image, realizing image local data and global data through CS, and solving the sparse optimization problem through hierarchical process; 2) in a feature perception layer, for the data of the stego image, realizing texture feature, edge feature and smooth feature data extraction through a CS structural measurement matrix, and realizing statistical relation between features as well as internal redundancy and complementarity of the features; and 3)designing an SVM classifier and a steganalysis CS blind detector. By analyzing the multi-domain feature general steganalysis current situation based on a Markov module, the problem of identification precision of secret information under different embedding rates of a JPEG image is solved.

Description

technical field [0001] The invention relates to information security, in particular to a general steganalysis method for digital image feature perception. Background technique [0002] 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. Different from traditional encrypted communication, steganography does not change the audio-visual effect of the digital carrier, nor does it change the size and format of the carrier file, so it is currently a highly concealed and more secure confidential communication method. Therefore, steganalysis has become a key technology to solve the problem of illegal use of steganography. [0003] In recent years, with the continuous game and evolution of steganography and steganalysis technology, steganography with high concealment a...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T1/00
CPCG06T1/0021G06T1/005
Inventor 赵慧民戴青云魏文国任金昌
Owner GUANGDONG POLYTECHNIC NORMAL UNIV