Steganalysis of LSB matching based on regional correlation
Ming Chen, Ru Zhang, Liu Fan-fan, Jian Feng Wu, Xinxin Niu · DOAJ (DOAJ: Directory of Open Access Journals) · 2010
LSB matching improves the security of hidden message through changing the pixel’s LSB randomly, which breaks the rules of pairs of values of LSB replacement. A new steganalysis technique which focuses on LSB matching embedding based on the local area’s smoothness in grayscale images was proposed. The detection method defines the difference between the sum of 8-neighbor pixels and the center pixel as the correlation between regional pixels. 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 include simplicity, computa- tional efficiency and low false positive rate. The detection achieves high reliability when embedding rate is above 30%.