TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
Text Steganography Based on Ci-poetry Generation Using Markov Chain Model |
| 영문제목(English Title) |
Text Steganography Based on Ci-poetry Generation Using Markov Chain Model |
| 저자(Author) |
Yubo Luo
Yongfeng Huang
Fufang Li
Chinchen Chang
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| 원문수록처(Citation) |
VOL 10 NO. 09 PP. 4568 ~ 4584 (2016. 09) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Steganography based on text generation has become a hot research topic in recent years. However, current text-generation methods which generate texts of normal style have either semantic or syntactic flaws. Note that texts of special genre, such as poem, have much simpler language model, less grammar rules, and lower demand for naturalness. Motivated by this observation, in this paper, we propose a text steganography that utilizes Markov chain model to generate Ci-poetry, a classic Chinese poem style. Since all Ci poems have fixed tone patterns, the generation process is to select proper words based on a chosen tone pattern. Markov chain model can obtain a state transfer matrix which simulates the language model of Ci-poetry by learning from a given corpus. To begin with an initial word, we can hide secret message when we use the state transfer matrix to choose a next word, and iterating until the end of the whole Ci poem. Extensive experiments are conducted and both machine and human evaluation results show that our method can generate Ci-poetry with higher naturalness than former researches and achieve competitive embedding rate.
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| 키워드(Keyword) |
Steganography
Ci-poetry Generation
Markov Chain
Mutual Information
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| 파일첨부 |
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