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Quantitative steganalysis of least significant bit matching revisited for consecutive pixels

[+] Author Affiliations
Wenxiang Li

Zhengzhou Information Science and Technology Institute, Zhengzhou, Henan 450002, China

Tao Zhang

Zhengzhou Information Science and Technology Institute, Zhengzhou, Henan 450002, China

Ran Wang

Zhengzhou Information Science and Technology Institute, Zhengzhou, Henan 450002, China

Yan Zhang

Zhengzhou University of Light Industry, Zhengzhou, Henan 450002, China

J. Electron. Imaging. 23(1), 013025 (Feb 18, 2014). doi:10.1117/1.JEI.23.1.013025
History: Received July 15, 2013; Revised December 4, 2013; Accepted January 23, 2014
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Abstract.  Least significant bit matching revisited (LSBMR) steganography uses two adjacent pixels as an embedding unit to conceal secret messages. In each unit, the modification probability of the first pixel is twice the modification probability of the second pixel, thereby causing an asymmetric effect on the statistical distribution of pixel difference in LSBMR for consecutive pixels (LSBMRCP). On the basis of the analysis of this asymmetric effect, a fast steganalytic feature is deduced and an embedding rate estimating method that employs an iteration strategy is proposed. Experimental results show that the steganalytic feature can effectively detect LSBMRCP steganography and that the detection performance is superior to the methods proposed by Tan and Xiong et al. Moreover, the embedding rate estimating method is so accurate that the order of magnitude of prediction error is maintained at 102, measured by the mean absolute error, median absolute difference, and interquartile range, thus indicating that the proposed method significantly outperforms the method proposed by Tan.

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Citation

Wenxiang Li ; Tao Zhang ; Ran Wang and Yan Zhang
"Quantitative steganalysis of least significant bit matching revisited for consecutive pixels", J. Electron. Imaging. 23(1), 013025 (Feb 18, 2014). ; http://dx.doi.org/10.1117/1.JEI.23.1.013025


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