A New Method of Steganalysis Based on Image Entropy

In this paper, a new steganalysis approach is proposed to reliably detect hidden message in image and estimate the amount of it. The scheme is based on the fact that LSB embedding can increase the number of close pairs of colors, and the statistical analysis of information entropy of image. Thus the change of entropy value in image can reflect the being of hidden message. Experiments show that the approach leads to good estimates of the hiding ratio.

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