Statistical detection of Jsteg steganography using hypothesis testing theory
Statistical detection of Jsteg steganography using hypothesis testing theory
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DOI：
10.1109/icip.2014.7026116
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发表时间：
2014-10
期刊：
影响因子：
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通讯作者：
T. Qiao;Cathel Zitzmann;F. Retraint;R. Cogranne
中科院分区：
文献类型：
--
作者：
T. Qiao;Cathel Zitzmann;F. Retraint;R. Cogranne
本文研究了 Jsteg 隐写术的统计检测。该方法基于离散余弦变换 (DCT) 系数的统计模型。隐藏信息检测问题是在假设检验理论的框架内提出的。在所有模型参数都完全已知的理想环境中，提出了似然比检验 (LRT)，并在理论上建立了其性能。 LRT的统计性能作为检测能力的上限。对于实际应用，当分布参数未知时，设计基于这些参数估计的检测器。与最佳 LRT 相比，所提出的检测器的功率损失很小，这表明了所提出方法的相关性。
This paper investigates the statistical detection of Jsteg steganography. The approach is based on the statistical model of Discrete Cosine Transformation (DCT) coefficients. The hidden information detection problem is cast in the framework of hypothesis testing theory. In an ideal context where all model parameters are perfectly known, the Likelihood Ratio Test (LRT) is presented and its performances are theoretically established. The statistical performance of LRT serves as an upper bound of the detection power. For a practical use, when the distribution parameters are unknown, a detector based on estimation of those parameters is designed. The loss of power of the proposed detector, compared with the optimal LRT is small, which shows the relevance of the proposed approach.