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2017 IEEE Second International Conference on Data Science in Cyberspace (DSC) (2017)
Shenzhen, Guangdong, China
June 26, 2017 to June 29, 2017
ISBN: 978-1-5386-1600-0
pp: 145-150
ABSTRACT
Most state-of-the-art text steganographic techniques keep the semantic of cover texts almost unchanged based on synonym substitution, but some statistical features of cover texts will be utilized by steganalyzers to detect the existence of the stego texts. In this paper, an adaptive text steganography is proposed to minimizing the cost caused by synonym substitution, in which the cost function is defined as a hybird of statistical distortion and linguistical distortion (HSL). Furthermore a double-layered STC (Syndrome-trellis code) scheme is designed to minimize distortion of synonym substitution. Experiments show that HSL can achieve higher secure level compared with traditional synonym substitution based methods.
INDEX TERMS
Distortion, Silicon, Tools, Pragmatics, Cows, Aerospace electronics, Cryptography
CITATION

H. Huanhuan, Z. Xin, Z. Weiming and Y. Nenghai, "Adaptive Text Steganography by Exploring Statistical and Linguistical Distortion," 2017 IEEE Second International Conference on Data Science in Cyberspace (DSC), Shenzhen, Guangdong, China, 2017, pp. 145-150.
doi:10.1109/DSC.2017.16
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