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2009 WRI World Congress on Computer Science and Information Engineering
Steganalysis of LSB Matching in Gray Images Based on Regional Correlation Analysis
Los Angeles, California USA
March 31-April 02
ISBN: 978-0-7695-3507-4
LSB matching improves the security of hidden message through changing the pixel’s LSB randomly, which breaks the rules of pairs of values in LSB replacement. This paper proposed a new steganalysis technique which aims at LSB matching embedding based on the local area’s correlation in grayscale images. The detection method defines the correlation between regional pixels as the difference between the sum of 8-neighbor pixels and the central pixel. The existence of embedded information can be detected by observing the change of the regional correlation before and after embedding. Compared with the existing algorithms, the advantages of the proposed method includes simplicity, computational efficiency and low false positive rate. The detection achieves high reliability when embedding rate is above 30%.
Citation:
Chen Ming, Liu Fan-fan, Zhang Ru, Niu Xin-xin, Yang Yi-xian, "Steganalysis of LSB Matching in Gray Images Based on Regional Correlation Analysis," csie, vol. 6, pp.490-494, 2009 WRI World Congress on Computer Science and Information Engineering, 2009
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