Steganalysis Frameworks of Embedding in Multiple Least-Significant Bits
Steganalysis Frameworks of Embedding in Multiple Least-Significant Bits
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DOI：
10.1109/tifs.2008.2007240
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发表时间：
2008-12
影响因子：
6.8
通讯作者：
Chunfang Yang;Fenlin Liu;Xiangyang Luo;B. Liu
中科院分区：
文献类型：
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作者：
Chunfang Yang;Fenlin Liu;Xiangyang Luo;B. Liu
最低位平面替换法因其简单易行而成为数字图像隐写技术的主流之一。但是，通过替换载体对象的多个最低有效位（MLSB）平面来精确估计嵌入的秘密消息的速率是比较困难的。为了对MLSB嵌入进行建模，引入了一个引理来证明某些迹子集之间的转换关系。然后，基于这些转移关系，设计了两个新的隐写分析框架来检测两种不同的MLSB嵌入方法。实验结果表明，该隐写分析框架对MLSB隐写具有较高的敏感性，能够准确地估计出隐写信息的速率。此外，这些框架可以完全满足在低误报率下区分隐写图像的需要，特别是当嵌入的消息很短时。
Replacement of least-significant bit plane is one of the popular steganography techniques in digital images because of its extreme simplicity. But it is more difficult to precisely estimate the rate of secret message embedded by replacement of multiple least-significant bit (MLSB) planes of a carrier object. In order to model the MLSB embedding, a lemma is introduced to prove the transition relationships among some trace subsets. Then, based on these transition relationships, two novel steganalysis frameworks are designed to detect two kinds of distinct MLSB embedding methods. A series of experiments show that the proposed steganalysis frameworks are highly sensitive to MLSB steganography, and can estimate the rate of secret message with higher accuracy. Furthermore, these frameworks can fully meet the need to distinguish stego images under low false positive rate, especially when the embedded message is short.