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Research on JPEG Image Based Steganographic Codes and Blind Steganalysis

Author: WangYong
Tutor: LiuJiuFen
School: PLA Information Engineering University
Course: Applied Mathematics
Keywords: Information Hiding Steganographic code MME Steganalysis Multi - directions Relevance sexual Blind detection
CLC: TN918.2
Type: Master's thesis
Year: 2010
Downloads: 83
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Abstract


With the rapid development of network technology, communication technology and multimedia signal processing technology, information hiding as a new cryptographic techniques, has become a new hotspot in the field of information security. Steganography is an important branch of information hiding technology, the main research how to hide in the open multimedia data to achieve covert communication. Steganographic encoding is a core technology of steganography, it is mainly to study the carrier to make as few changes as possible and embed as much information as possible. Steganography steganography attacks, namely, how to detect, extract, or destruction of the hidden secret information. This paper studies for the development of information hiding technology and application requirements, based on the JPEG image steganographic encoding and the blind detection technology, the main contents are as follows: 1, construct the MME (Modified Matrix Encoding) steganography code is given based on the MME two steganography (1) combination of different MME hidden write code embedded in each piece of the same length as the carrier, multi-bit secret message, the MME steganographic code. MME 1 in conditions that do not increase the computational complexity compared to the MME algorithm embedding efficiency is improved to some extent. (2) on the basis of (1) extracting image for JPEG steganographic algorithm based on the MME 1 LSB matching (Least Significant Bit Matching). Experimental results show that: the algorithm reduces the vector coefficients rounded distortion, improve the ability to resist the LSB matching detection algorithm. (3) on the basis of (1) for JPEG image steganography algorithm based on the MME of the IRB (Iterative Random Blocking). Experimental results show that: the algorithm reduces the carrier DCT coefficient rounding distortion, improve the resistance of the blind detection algorithm based on the calibration ability. 2, blind detection method based on DCT (Discrete Cosine Transform) coefficients and calibration (1) is configured to reflect a the DCT coefficients multi-directional correlation characteristics matrix, and then combined to predict error calibration and clipping calibration Extract JPEG images 96 dimensional blind detection of characteristic quantities. Experimental results show that: the 96-dimensional blind detection features by F5, OutGuess (ver 2.0), JPHide (ver 0.5), steghide, MB1 and MB2 steganography stego image with a strong sensitivity. (2) (1) 96-dimensional feature vector using support vector machine design classifier to distinguish the carrier, the carrier density image. Experimental results show that: on F5, OutGuess (ver 2.0), JPHide (ver 0.5), steghide, MB1 and MB2 six, steganography algorithm, the two classifiers to high accuracy to distinguish between the carrier and the stego image. (3) (1) 96-dimensional feature vector using support vector machine design multiple classifier to distinguish based on the JPEG image steganography. Experimental results show that: the multi-classification has a certain distinction of the six steganography. The research has laid a foundation for further extract the hidden secret information.

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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Communicate > Confidentiality of communications and communications security > Password, machine
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