Detecting LSB steganography based on dynamic masks

This paper presents a dynamic regular groups steganalysis (DRS) algorithm to detect LSB steganography. This algorithm dynamically selects an appropriate mask for each image to reduce the initial bias, and estimates´ the LSB embedding message ratio by constructing equations with the statistics of regular groups in image. Experimental results show that this algorithm is more accurate and has a lower missing rate and false1 alarm rate than the conventional RS method and some other powerful steganalysis approaches present recently.