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Research on Steganalysis for JPEG Images

Author: HanXiaoDong
Tutor: PingXiJian
School: PLA Information Engineering University
Course: Military Intelligence
Keywords: Digital steganography Steganalysis 0,1 coefficient combination Support Vector Machine Secondary compression The absolute value of the coefficient differential
CLC: TP391.41
Type: Master's thesis
Year: 2009
Downloads: 98
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Abstract


Steganography technology uses human perception redundant statistical redundancy and digital media, then in an open channel for transmission, to hide the fact of the existence of a communication to hide the secret information into digital media. Can be used to hide the types of digital information carrier such as audio, video, images, etc.. With the development of the Internet, the more widespread use of digital image. JPEG image compression ratio, good quality, small storage capacity naturally become a good choice of image data transmission on the Internet, using the JPEG image hidden information is not easy to arouse suspicion. Therefore, to carry out for JPEG image steganography technology research has important implications. In this paper, the JPEG image implicit write analytical techniques to some studies, the main work is as follows: 1, a brief review of the history of the development of information hiding, classification and application value. Elaborated on the the digital steganography features and performance indicators were analyzed to carry out the importance of steganography technology research, a summary of steganography and steganalysis Research. 2, write the classic JPEG images hidden principle of the algorithm description and analysis of its problems, to mature steganalysis algorithm written analysis of two aspects were summarized from the special steganography analysis and general hidden. 3, F5 steganography analysis algorithm based on the combination of 0,1 coefficient differences. F5 algorithm to embed secret information before and after a factor of 0,1, -1 occurrence frequency difference is large, resulting in the DCT coefficient histogram generation contraction effect. 0,1, total of 9 different combinations -1 three coefficients, referred to as 0,1 coefficient combined. The analysis revealed that 8 × 8 sub-blocks of the JPEG images before and after embedding of the secret information in accordance with the the Z scan sequence adjacent two frequency positions 0,1 coefficient combined frequency there is a difference. Based on this extracted based on the 8 × 8 sub-blocks horizontally adjacent and vertically adjacent block 12 statistical combination of the frequency difference of coefficient of 0,1, using the SVM for training and classification. The experimental results show that the algorithm to achieve the effective detection of F5 algorithm. 4, secondary compression JPEG image detection algorithm based on differential absolute value of the difference. F5 and OutGuess standard procedure before the secret information embedded in JPEG image compression secondary, making steganalysis algorithm to detect performance degradation or even failure during steganalysis prior to detection of JPEG images with or without secondary compression has important significance. The algorithm the 9 low position DC and AC coefficient differential absolute value of the difference before and after the analysis of the JPEG image compression secondary, exchanges and exchange absolute value of the difference of the differential extraction on the basis of a 171-dimensional feature using SVM classification detection. Experimental results show that the algorithm in the false alarm rate control in less than 5%, while better detection results, has a certain practicality. Finally, a summary of the work done on this article, and research directions are suggested.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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