1 research outputs found
LSB Matching Steganalysis Based on Patterns of Pixel Differences and Random Embedding
This paper presents a novel method for detection of LSB matching steganogra-
phy in grayscale images. This method is based on the analysis of the
differences between neighboring pixels before and after random data embedding.
In natu- ral images, there is a strong correlation between adjacent pixels.
This correla- tion is disturbed by LSB matching generating new types of
correlations. The pre- sented method generates patterns from these correlations
and analyzes their varia- tion when random data are hidden. The experiments
performed for two different image databases show that the method yields better
classification accuracy com- pared to prior art for both LSB matching and HUGO
steganography. In addition, although the method is designed for the spatial
domain, some experiments show its applicability also for detecting JPEG
steganography