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标题：UNIVERSAL STEGANALYSIS: DEFEND AGAINST ADAPTIVE STEGANOGRAPHIC ATTACK USING MX-QUADTREE NEIGHBOR FINDING MECHANISM
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作者：B.Yamini ; Dr.R.Sabitha
期刊名称：Indian Journal of Computer Science and Engineering
印刷版ISSN：2231-3850
电子版ISSN：0976-5166
出版年度：2015
卷号：6
期号：6
页码：173-181
出版社：Engg Journals Publications
摘要：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 thecountermeasure against steganography. Steganalysis deals with the extraction of hidden data from the covermedia. The cover media could be an image or an audio or a video file. Human Visual System (HVS) may notclearly identify the images with hidden information. Universal steganalysis is the method of attacking the stegoimages regardless of the method used for embedding secret information into the cover media. Universalsteganalysis is a combination of two methods; they are feature extraction and classification. Adaptivesteganography is a perceptual masking technique which is based on color contrast of the image. This type ofsteganography does not modify the image quality, which has higher rate of embedding capacity andunperceivability. In the existing method, payload locations of JPEG stego images were identified using PointRegion quad tree (PR quad tree) mechanism in which more levels in tree should be identified to split two closelyspaced points. In PR quad tree mechanism, each node has 2n pointers to represent ‘n’ dimensions. In thisproposed method, a new steganalytic method called MatriX quadtree (MX quadtree) neighbor finding techniqueis used to reveal the hidden information from adaptive steganographic stego images. The MX quad treemechanism helps to concentrate on individual pixel values of densely populated color contrast values. Imagequality ratio is between original and stego image is analyzed using True Positive Rate (TRP).
关键词：Adaptive Steganography; Steganalysis; Stego Images; Universal Steganalysis; MatriX Quad tree;Point Region Quad Tree; Embedded Capacity; True Positive Rate; Local entropy.