Abstract
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.
An earlier version of this paper was presented at the 2nd IEEE International Conference on Data Science in Cyberspace.
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Hu, H., Zuo, X., Zhang, W., Yu, N. (2018). Covert Communication by Exploring Statistical and Linguistical Distortion in Text. In: Sun, X., Pan, Z., Bertino, E. (eds) Cloud Computing and Security. ICCCS 2018. Lecture Notes in Computer Science(), vol 11066. Springer, Cham. https://doi.org/10.1007/978-3-030-00015-8_25
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DOI: https://doi.org/10.1007/978-3-030-00015-8_25
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