Detecting LSB Steganography in Color and Gray-Scale Images
IEEE MultiMedia
IHW '01 Proceedings of the 4th International Workshop on Information Hiding
A new approach to reliable detection of LSB steganography in natural images
Signal Processing - Special section: Security of data hiding technologies
An information-theoretic model for steganography
Information and Computation
Reliable Detection of BPCS-Steganography in Natural Images
ICIG '04 Proceedings of the Third International Conference on Image and Graphics
A fast and effective method to detect multiple least significant bits steganography
Proceedings of the 2008 ACM symposium on Applied computing
Locating steganographic payload via ws residuals
Proceedings of the 10th ACM workshop on Multimedia and security
Steganalysis of Multi Bit Plane Image Steganography
IWDW '07 Proceedings of the 6th International Workshop on Digital Watermarking
Handbook of Research on Secure Multimedia Distribution
Handbook of Research on Secure Multimedia Distribution
Embedding Ratio Estimating for Each Bit Plane of Image
Information Hiding
LTSB steganalysis based on quartic equation
Transactions on data hiding and multimedia security II
Multi bit plane image steganography
IWDW'06 Proceedings of the 5th international conference on Digital Watermarking
Detection of LSB steganography via sample pair analysis
IEEE Transactions on Signal Processing
Steganalysis of Embedding in Two Least-Significant Bits
IEEE Transactions on Information Forensics and Security
Steganalysis Frameworks of Embedding in Multiple Least-Significant Bits
IEEE Transactions on Information Forensics and Security
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For detecting the MBPIS (multiple bit-planes image steganography), which embeds the messages into the multiple Gray code bit-planes, a steganalysis method is proposed to estimate the embedding ratios based on sample pairs analysis. The proposed method combines appropriate trace sets of a more elegant and pellucid sample pair analysis model to estimate the modification ratio of each natural binary bit-plane. Then the modification ratios in Gray code bit-planes are estimated from the modification ratios in natural binary bit-planes based on the relationship between natural binary bit-planes and Gray code bit-planes. Finally, considering the matrix encoding in MBPIS, the embedding ratios are obtained from the modification ratios in Gray code bit-planes. Experimental results show that compared with existing steganalysis methods, the proposed method can not only detect the stego images of MBPIS more reliably, but also estimate the embedding ratios of MBPIS with smaller errors. When the embedding ratio in the first Gray code bit-plane is not less than 0.1, the average absolute error of the proposed method will less than it of the ID3SPA by 0.04 at least.