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Locating payload embedded by group-parity steganography

机译:定位通过奇偶校验隐写法嵌入的有效载荷

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摘要

Payload location has only been studied under simple least significant bit steganography. In this paper, we present an approach to locate payload embedded by a more sophisticated group-parity scheme in which the payload is determined by the parities of disjoint groups of pixels of equal size. The corresponding payload location problem is to identify the pixel groups that determine the payload. We represent the pixels as nodes in a complete graph. Our approach is to partition the graph into nodes that identify the payload by examining modified pixels in a collection of stego images, where each image embeds the payload using the same pixel groups. In the ideal case when the cover images are available, we show that the expected number of stego images needed to partition the graph into the correct pixel groups is approximately eight times the square of the group size times the natural logarithm of the number of pixels. In more practical settings when the cover images are not available, we use cover estimators to locate modified pixels and present a heuristic to partition the graph based on the obtained information. Experimental results are provided to demonstrate the effectiveness of our approach in locating payload embedded by group-parity steganography.
机译:仅在简单的最低有效位隐写术下研究了有效负载位置。在本文中,我们提出了一种通过更复杂的组奇偶校验方案来定位嵌入的有效载荷的方法,其中有效载荷由相等大小的不相交像素组的奇偶校验确定。相应的有效载荷位置问题是识别确定有效载荷的像素组。我们将像素表示为完整图中的节点。我们的方法是通过检查隐身图像集合中的修改像素,将图形划分为识别有效负载的节点,其中每个图像都使用相同的像素组嵌入有效负载。在有封面图像的理想情况下,我们表明将图形划分为正确像素组所需的隐身图像的预期数量大约是组大小的平方的八倍乘以像素数的自然对数。在没有覆盖图像的更实际的设置中,我们使用覆盖估计器来定位修改后的像素,并根据获得的信息提出启发式方法来划分图。提供的实验结果证明了我们的方法在定位通过奇偶校验隐写法嵌入的有效载荷方面的有效性。

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