Statistical feature-based steganalysis for pixel-value differencing steganography

Abstract Pixel-value differencing (PVD) steganography is a popular spatial domain technology. Several PVD-based studies have proposed extended PVD methods. The majority of these verified their security against the regular-singular (RS) analysis. However, RS analysis aimed at feature least significant bit substitution method, which relatively less for steganography. pixel difference histogram (PDH) generally utilized to attack If embedding capacity high, then features on PDH are evident; otherwise, obvious. In this paper, we propose statistical feature-based steganalysis technique original Experimental results demonstrate that, compared with existing weighted stego-image (WS) method effectively detects low ratios, such that there no need using parameters. Furthermore, accuracy and precision better than those techniques. Therefore, contributes as an alternative commonly used RS, WS