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
- 21 August 2020
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 More >
Login
Register
