Probabilistic Approach for Hypothesis Testing: Steganography

Abstract

Steganography detection is the process of detecting hidden messages in seemingly innocuous data. Messages can be hidden in almost all forms of data, like audio, video, images etc. There are different types of methods and tools via which messages can be hidden in data streams. There are also many methods via which we can detect whether a bit stream has undergone Steganography or not. In this paper probabilistic approach for Steganalysis (Steganography Detection) on images is performed where Least Significant Bit Flip method is used which involves manipulation of LSB of the pixel value of an image. This method is based on the probability of occurrence of the message given the entire image.