Statistical Approaches for Digital Image Steganalysis

In this paper we presented three steganalysis techniques which are developed using statistical properties of an image. When secret data is hidden in an image, the statistical properties like variance, correlation, entropy, (Peak Signal to Noise Ratio) PSNR, and (Mean Square Error) MSB are changed due to the hidden secret data. We have used these quantitative measures to detect whether any secret data is present in the image or not. Using a statistical approach, we investigated the inherent detectability of several commonly used steganography techniques to check the performance of proposed steganalysis approaches.