An image based undetectable steganographic technique (ImUST)

Vaibhav B. Joshi, M. Raval
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Abstract

Steganography is a science of secure communication. It is challenged by a binary steganalyzer which predicts presence or absence of a hidden message within a cover media. Recently proposed quantitative steganalyzers go a step beyond binary detection and estimates the hidden message length. In this paper, we propose a novel image based steganographic technique. A preprocessing step is introduced to minimize distortion and the message is embedded using histogram shifting. The statistical features of an image do not change significantly after embedding. We show that the proposed technique remains undetectable to state-of-the-art; binary and quantitative steganalyzers while the message remains undetectable. The preprocessing also enables iterative embedding, generating higher steganographic capacity than state-of-the-art.
一种基于图像的不可检测隐写技术
隐写术是一门安全通信的科学。它受到二进制隐写分析器的挑战,该分析器预测隐藏信息在覆盖媒体中的存在或不存在。最近提出的定量隐写分析器比二进制检测更进一步,并估计隐藏信息的长度。本文提出了一种新的基于图像的隐写技术。引入了一个预处理步骤以最小化失真,并使用直方图移位嵌入信息。嵌入后图像的统计特征没有明显变化。我们表明,所提出的技术仍然无法检测到最先进的;二进制和定量隐写分析,而信息仍然无法检测。预处理还可以实现迭代嵌入,产生比最先进的更高的隐写能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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