UNIVERSAL STEGANALYSIS: DEFEND AGAINST ADAPTIVE STEGANOGRAPHIC ATTACK USING MX-QUADTREE NEIGHBOR FINDING
R. Sabitha · 2016
In the world of information security, Trapping of Illegal secret communication plays an imperative role. Especially, defending against such type of attacks plays important role in the area of defense. Steganalysis is the countermeasure against steganography. Steganalysis deals with the extraction of hidden data from the cover media. The cover media could be an image or an audio or a video file. Human Visual System (HVS) may not clearly identify the images with hidden information. Universal steganalysis is the method of attacking the stego images regardless of the method used for embedding secret information into the cover media. Universal steganalysis is a combination of two methods; they are feature extraction and classification. Adaptive steganography is a perceptual masking technique which is based on color contrast of the image. This type of steganography does not modify the image quality, which has higher rate of embedding capacity and unperceivability. In the existing method, payload locations of JPEG stego images were identified using Point Region quad tree (PR quad tree) mechanism in which more levels in tree should be identified to split two closely spaced points. In PR quad tree mechanism, each node has 2 n pointers to represent ‘n’ dimensions. In this proposed method, a new steganalytic method called MatriX quadtree (MX quadtree) neighbor finding technique is used to reveal the hidden information from adaptive steganographic stego images. The MX quad tree mechanism helps to concentrate on individual pixel values of densely populated color contrast values. Image quality ratio is between original and stego image is analyzed using True Positive Rate (TRP).