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Steganalysis Based on Weighted Stego-Image for 2LSB Replacement Steganography

机译:基于2LSB替代隐点的加权STEGO图像的塞加帕分析

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The replacement steganography in each bit plane of two least-significant bits (2LSB) in digital images may be independent and the secret message length in each bit plane can be different. Based on the principle of the weighted stego-image, a new weighted stego-image model for 2LSB replacement steganography is given in this paper, and a new steganalytic method is based on the weighted stego-image model. The method firstly introduces the proposed least-significant bits (LSB) detection method into estimating the embedding ratio of hyper-LSB after deleting the lowest bit plane, and then the embedding ratio of LSB is given based on the Weighted Stego-image model. Experimental results show that new method is an effective method.
机译:数字图像中的两个最小有效位(2LSB)的每个比特平面中的替换隐写可以是独立的,并且每个位平面中的秘密消息长度可以是不同的。基于加权Sego图像的原理,本文给出了用于2LSB替代隐点的新加权STEGO图像模型,新的STEG分析方法基于加权的STEGO图像模型。该方法首先将所提出的最小有效位(LSB)检测方法介绍在删除最低比特平面之后估计Hyper-LSB的嵌入比,然后基于加权的STEGO图像模型给出LSB的嵌入比率。实验结果表明,新方法是一种有效的方法。

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