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Detection of Hiding in the LSB of DCT Coefficients

机译:隐藏在DCT系数的LSB中的隐藏

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摘要

In this paper, we provide a steganalysis method which can detect the hiding in the least significant bit of the DCT coefficients. The method is based on the thought that the DCT coefficients are correlative. So the LSB sequence of the DCT coefficients is not random as a pseudo-random sequence. The randomness the LSB sequence is measured by some statistical tests. We find, as the increase of the embedded secrets, the randomness of the LSB sequence increase. Using the statistical tests as the features, we train ε -support vector regression (ε -SVR) with train images to get the statistical mode of the estimation of the embed secrets. With the statistical mode, we can discriminate the stego-images from the clear ones. We test our method on Jsteg and OutGuess. The results of experiments show that our method can detect the hiding by Jsteg and OutGuess either.
机译:在本文中,我们提供了一种隐写分析方法,可以检测DCT系数的最低有效位中的隐藏。该方法基于DCT系数是相关的思想。因此,DCT系数的LSB序列作为伪随机序列不是随机的。 LSB序列的随机性通过一些统计检验来衡量。我们发现,随着嵌入秘密的增加,LSB序列的随机性增加。使用统计检验作为特征,我们用训练图像训练ε-支持向量回归(ε-SVR),以获得估计嵌入秘密的统计模式。通过统计模式,我们可以将隐秘图像与清晰图像区分开。我们在Jsteg和OutGuess上测试我们的方法。实验结果表明,该方法能够同时检测出Jsteg和OutGuess的隐藏情况。

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