Image steganalysis with binary similarity measures

We present a novel technique for steganalysis of images that have been subjected to embedding by steganographic algorithms. The seventh and eight bit planes in an image are used for the computation of several binary similarity measures. The basic idea is that, the correlation between the bit planes as well the binary texture characteristics within the bit planes will differ between a stego-image and a cover-image. These telltale marks are used to construct a classifier that can distinguish between stego and cover images. We also provide experimental results using some of the latest steganographic algorithms.