International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 04 Issue: 04 | Apr -2017
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p-ISSN: 2395-0072
Defend against Adaptive Stenographic Attack using Mx-Quadrtree Neighbor Finding Mechanism Dr.T.Pandikumar1, Habtewold Desta2 1PhD
Department of Computer & Information Technology, Defence University College of Engineering, Debre Zeyit, Ethiopia 2M.Tech Department of Computer & Information Technology, Defence University College of Engineering, Debre Zeyit, Ethiopia ---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - The major threat in cybercrime for digital
Universal steganalysis is a combination of feature extraction and feature classification. From the data set of images; a group of statistics is obtained based on the features of the image. These extracted features are used to train a classifier to identify the cover and stego image. The neighboring joint features are extracted on intra block and inter block from the Discrete Cosine Transform Coefficient arrays. Quad tree mechanism is an optimized technique, which reduces the number of recursive calls.
forensic examiner is to identify, analyze and interpret the concealed information inside digital medium such as image, audio and video. The most interesting thing in this title and that motivates me to study in this area is the way how to extract a message from any kind of stago image. This kind of extraction and translation helps the defense to take action and to identify what is going inside and who is the one doing this. 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. Steg analysis is the countermeasure against steganography. Steg analysis 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 Steg analysis is the method of attacking the Stego images regardless of the method used for embedding secret information into the cover media. Universal Steg analysis is a combination of two methods; they are feature extraction and classification. Most research papers that focus in Steg analysis uses extraction methods and some uses signature steg analysis and statistical steg analysis. The research paper we found called Universal Steg analysis uses extraction and classification. And it uses Adaptive steganography as it 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 un-perceivability. This features of the paper attracted us to review and make it our title.
1.1 Statement of the Problem 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. Steg analysis is the countermeasure against steganography.
1.2 Objectives of the Research Papers The objective of this paper is to extract a stego image for the purpose of defense and identifying the data or information transferred between the targets. That means the information transferred maybe secrete and not to be given to outsiders or unauthorized group that may cause a damage.
1.3 Significance of these research works This paper has high significance for the defense work. In that it helps to now the information inside the stego image without knowledge of the algorithm used. And can give full information to the needy.
Key Words: Steganogrpahy;MX-Quadtre, Adaptive Steg
1.4 Literatures Referred
Analysis
1. INTRODUCTION
1.4.1 1.4.2 1.4.3
Steganalysis is a method of extracting the unrevealed messages from the cover media. Adaptive steganalysis attempts to extract the concealed messages which are embedded based on the color nature of the cover media. Universal steganalysis also called as blind steganalysis, which attempts to attack the stego images without any prior knowledge about the stenographic algorithm used.
Š 2017, IRJET
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Impact Factor value: 5.181
1.4.4 1.4.5
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Review of Various Steganalysis Techniques Steganalysis using color model conversion A Review on Steganalysis Techniques: From Image Format Point of View Steganlysis algorithms for detecting the hidden information in image audio and video cover media New Steganalysis Method using Glcm and Neural Network
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