A Novel Steganalysis Method Based on Histogram Analysis

Steganalysis is the art of detecting hidden messages embedded inside Steganographic Images. Steganalysis involves detection of steganography, estimation of message length and its extraction. Recently Steganalysis receives great deal of attention from the researchers due to the evolution of new, advanced and much secured steganographic methods for communicating secret information. This paper presents a universal steganalysis method for blocking recent steganographic techniques in spatial domain. The novel method analyses histograms of both the cover and suspicious image and based on the histogram difference it gives decision on the suspicious image of being stego or normal image. This method for steganalysis extracts a special pattern from the histogram difference of the cover and. By finding that specific pattern from the histogram difference of the suspicious and cover image it detects the presence of hidden message. The proposed steganalysis method has been experimented on a set of stego images where different steganographic techniques are used and it successfully detects all those stego images.