LSB replacement steganalysis method based on grey co-occurrence matrix statistic features

Abstract

The invention discloses an LSB replacement steganalysis method based on grey co-occurrence matrix statistic features. The method includes the steps of image bit plane decomposition, grey co-occurrence matrix calculation, feature selection and extraction and classification. Firstly, a grey image is decomposed into eight bit planes, differential matrixes between the lowest bit plane and other seven bit planes are respectively calculated, then a sum matrix of the differential matrixes is calculated, a grey co-occurrence matrix of the sum matrix is generated, the obvious features are extracted and calculated by researching and analyzing the characteristics of the co-occurrence matrix, and a support vector machine is used as a classifier to distinguish carrier images and hidden images. According to the method, the number of feature dimensions is small, curse of dimensionality is effectively avoided, detection precision is high, an algorithm is stable, robustness of image processing of retaining operations of JPEG compression, median filtering, noise addition and the like is achieved, satisfying generalization ability is achieved, and calculation complexity is low.

Description

technical field [0001] The invention belongs to the technical field of information security, and relates to an LSB replacement steganalysis method based on the statistical characteristics of a gray level co-occurrence matrix. Background technique [0002] As an important branch of information security, information hiding has become an important means of secretly transmitting messages in open channels, and has also become one of the important research contents in the field of information security. The difference from cryptographic technology is that it hides specific secret information in a certain public information (carrier signal), which will neither change the audio-visual effect of the carrier signal nor change the format and size of the carrier file. The performance of the appearance is still the content and characteristics of the carrier signal (public information), so the third party will not be aware of the existence of secret information, thereby realizing covert co...

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to provide a LSB replacement steganalysis method based on the statistical characteristics of the gray level co-occurrence matrix, which reduces the dimension of the feature vector and solves the "dimension disaster" and low detection accuracy existing in the prior art And other issues

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