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首页> 外文期刊>Journal of visual communication & image representation >Targeted attack and security enhancement on texture synthesis based steganography
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Targeted attack and security enhancement on texture synthesis based steganography

机译：基于纹理合成的隐写技术的针对性攻击和安全性增强

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摘要

We describe an effective and efficient strategy building steganography detector for patch synthesis based steganography, one case of which is reversible texture synthesis based steganography method proposed by Wu et al. (2015). By exploiting the observation that steganography destroys optimization of matching extent between the synthetic patch and optimal candidate patch, we reconstruct the two patches from an overlapped region to extract the existence of optimality, which are distinct between cover and stego images, to form features. Support vector machine (SVM) is implemented for classification. Meanwhile, a variant of Wu et al.'s steganographic method is proposed with reinforced security, by padding redundant regions carrying no message around the periphery of the synthesized image and generating additional candidate patches to increase capacity. Experiments demonstrate that the modified algorithm offers not only better resistance against the state-of-the-art steganalysis methods and steganalytic attack we developed, but also a larger embedding capacity.
机译：我们描述了一种用于基于补丁合成的隐写术的有效而有效的策略构建隐写术检测器，其中一种情况是Wu等人提出的基于可逆纹理合成的隐写术方法。 （2015）。通过利用隐写术破坏了合成补丁和最佳候选补丁之间匹配程度优化的观察，我们从重叠区域重构了两个补丁，以提取存在于封面图像和隐秘图像之间的最优性，以形成特征。支持向量机（SVM）用于分类。同时，提出了Wu等人的隐写方法的一种变体，该方法具有增强的安全性，方法是在合成图像的外围填充没有消息的冗余区域，并生成其他候选补丁以增加容量。实验表明，改进的算法不仅可以更好地抵抗我们开发的最新隐写分析方法和隐写分析攻击，而且还具有更大的嵌入能力。

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