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Statistical detection of information hiding based on adjacent pixels difference

Abstract : 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.
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Contributor : Jean-Baptiste VU VAN Connect in order to contact the contributor
Submitted on : Thursday, May 14, 2020 - 12:46:51 PM
Last modification on : Wednesday, August 31, 2022 - 6:55:21 PM


  • HAL Id : hal-02573455, version 1



Rémi Cogranne, Cathel Zitzmann, Florent Retraint, Igor V. Nikiforov, Philippe Cornu, et al.. Statistical detection of information hiding based on adjacent pixels difference. European Signal Processing Conference (EUSIPCO-2012), Aug 2012, Bucharest, Romania. pp.1737-1741. ⟨hal-02573455⟩



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