Statistical detection of information hiding based on adjacent pixels difference

This paper presents a novel methodology for statistical detection of Least Significant Bits (LSB) matching steganography. It proposes to exploit a statistical model of natural images adjacent pixels difference. In this paper, the detection problem is first addressed in a theoretical context when cov...

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Bibliographic Details
Main Authors: Cogranne, R., Zitzmann, C., Retraint, F., Nikiforov, I., Cornu, P., Fillatre, L.
Format: Conference Proceeding
Language:English
Subjects:
Channel estimation
Data hiding
Detection theory
Detectors
Equations
Hypothesis testing
Image processing
Information forensics
Laplace equations
Mathematical model
Maximum likelihood estimation
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Summary:This paper presents a novel methodology for statistical detection of Least Significant Bits (LSB) matching steganography. It proposes to exploit a statistical model of natural images adjacent pixels difference. In this paper, the detection problem is first addressed in a theoretical context when cover image parameters are known. The most powerful likelihood ratio test (LRT) is designed and its statistical performances are analytically expressed. Then, for a practical case of unknown image analysis, an estimation of distribution parameters is proposed to designed a test whose performance are also analytically established. Numerical results on a large image database shows the relevance of proposed methodology.
ISSN:2219-5491
2219-5491