We propose a steganalytic algorithm for watermarks embedded by Cho et al.'s mean-based algorithm [1] . The main observation is that while in a clean model the means of Cho et al.'s normalized histogram bins are expected to follow a Gaussian distribution, in a marked model their distribution will be bimodal. The proposed algorithm estimates the number of bins through an exhaustive search and then the presence of a watermark is decided by a tailor made normality test. We also propose a modification of Cho et al.'s algorithm which is more resistant to the steganalytic attack and offers an improved robustness/capacity trade-off.
In Yang et al. REF , a specific 3D steganalysis is proposed based on the observation that the natural statistics of the 3D model are disturbed by Cho et al.'s mean based embedding.
A steganalytic algorithm for 3D polygonal meshes
2014 IEEE International Conference on Image Processing (ICIP)
2014 IEEE International Conference on Image Processing (ICIP)
Computer Science