Isotropy-based steganalysis in multiple least significant bits
Paper
18 March 2008 Isotropy-based steganalysis in multiple least significant bits
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Abstract
In this paper, we extend Isotropy-based LSB steganalysis for detecting the existence of hidden message and estimating hidden message length when the embedding is performed using both of two distinct embedding paradigms in one or more than one LSB. The extended method is based on the analysis of image isotropy, which is usually affected by secret message embedding. The proposed method is general framework because it encompasses a more general case of LSB steganalysis, namely when the embedding is performed in more LSBs and using both embedding paradigms. Compared with our previous proposed weighted stego-image based method, the detection accuracy is high. Experimental results and theoretical verification show that this framework is an effective framework of LSB steganalysis.
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Xiaoyi Yu, Noboru Babaguchi, and Yunhong Wang "Isotropy-based steganalysis in multiple least significant bits", Proc. SPIE 6819, Security, Forensics, Steganography, and Watermarking of Multimedia Contents X, 681913 (18 March 2008); https://doi.org/10.1117/12.766005
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Cited by 2 scholarly publications.
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KEYWORDS
Steganalysis

Steganography

Statistical analysis

Error analysis

Darmstadtium

Image analysis

Data hiding

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