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    Coverless Text Hiding Method Based on Improved Evaluation Index and One-Bit Embedding

    Ning Wu1,2, Yi Yang1,*, Lian Li1, Zhongliang Yang3, Poli Shang4, Weibo Ma5, Zhenru Liu5

    CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.3, pp. 1035-1048, 2020, DOI:10.32604/cmes.2020.010450

    Abstract In the field of information hiding, text is less redundant, which leads to less space to hide information and challenging work for researchers. Based on the Markov chain model, this paper proposes an improved evaluation index and onebit embedding coverless text steganography method. In the steganography process, this method did not simply take the transition probability as the optimization basis of the steganography model, but combined it with the sentence length in the corresponding nodes in the model to gauge sentence quality. Based on this, only two optimal conjunctions of the current words are retained in the method to generate… More >

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