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Detection of Hiding in the LSB of DCT Coefficients

机译:检测DCT系数LSB中的隐藏

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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,我们提供了一种隐分方法,其可以检测DCT系数的最低有效位的隐藏。该方法基于思想DCT系数是相关的。因此DCT系数的LSB序列不随机作为伪随机序列。随机性LSB序列由一些统计测试测量。我们发现,随着嵌入式秘密的增加,LSB序列的随机性增加。使用统计测试作为特征,我们用列车图像训练ε-support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,我们可以从清晰的模式区分STEGO图像。我们在Jsteg和Outguess上测试我们的方法。实验结果表明,我们的方法可以通过Jsteg和Outguess检测隐藏。

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