Statistical detection of information hiding based on adjacent pixels difference - Archive ouverte HAL Access content directly
Conference Papers Year :

Statistical detection of information hiding based on adjacent pixels difference

(1) , (1) , (1) , (1) , (1) , (2)
1
2

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.
Not file

Dates and versions

hal-02573455 , version 1 (14-05-2020)

Identifiers

  • HAL Id : hal-02573455 , version 1

Cite

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⟩
30 View
0 Download

Share

Gmail Facebook Twitter LinkedIn More