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Covert Communication by Exploring Statistical and Linguistical Distortion in Text

机译:通过探索文本中的统计和语言失真来进行隐性交流

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Most state-of-the-art text steganography algorithms are designed based on synonym substitution with the concern of simplicity and robustness. However, synonym substitution will cause some detectable impact on cover texts. In this paper, we propose an content-adaptive text steganography to minimize the impact caused by embedding process. We believe that synonym substitution will cause a hybird distortion consists of statistical distortion and linguistical distortion. We design a double-layered STC embedding algorithm (HSL) to minimize the distortion. Experiments results indicate that the security performance of HSL is better compared with traditional methods based on synonym substitution.
机译:大多数现代文本隐写算法都是基于同义词替换设计的,同时考虑了简单性和鲁棒性。但是,同义词替换将对封面文字产生可检测到的影响。在本文中,我们提出了一种内容自适应文本隐写技术,以最大程度地减少嵌入过程所造成的影响。我们认为,同义词替换将导致杂乱的失真,包括统计失真和语言失真。我们设计了一个双层STC嵌入算法(HSL)以最大程度地减少失真。实验结果表明,与基于同义词替换的传统方法相比,HSL的安全性能更好。

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