Abstract
We propose a simple method for classifying images to increase the reliability of steganalysis techniques in digital images. RS Steganalysis Method(RSM), Sample Pair Method(SPM), and Least Square Method(LSM) are the most reliable steganalysis methods in the literature for LSB replacement steganography on digital images in spatial domain. These methods give highly accurate results on most of the images. However all these methods show very high embedding ratio when no data or very small amount of data is hidden in some images. We propose a simple method to identify images which give very accurate results and images which give highly inaccurate results. The novelty of our method is that it does not require any knowledge about the cover images. The image classification is done based on certain statistical properties of the image, which are invariant with embedding. Thus it helps the steganalyst in attaching a level of confidence to the estimation he makes.
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