TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
Generative Linguistic Steganography: A Comprehensive Review |
| 영문제목(English Title) |
Generative Linguistic Steganography: A Comprehensive Review |
| 저자(Author) |
Lingyun Xiang
Rong Wang
Zhongliang Yang
Yuling Liu
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| 원문수록처(Citation) |
VOL 16 NO. 03 PP. 0986 ~ 1005 (2022. 03) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Text steganography is one of the most imminent and promising research interests in the information security field. With the unprecedented success of the neural network and natural language processing (NLP), the last years have seen a surge of research on generative linguistic steganography (GLS). This paper provides a thorough and comprehensive review to summarize the existing key contributions, and creates a novel taxonomy for GLS according to NLP techniques and steganographic encoding algorithm, then summarizes the characteristics of generative linguistic steganographic methods properly to analyze the relationship and difference between each type of them. Meanwhile, this paper also comprehensively introduces and analyzes several evaluation metrics to evaluate the performance of GLS from diverse perspective. Finally, this paper concludes the future research work, which is more conducive to the follow-up research and innovation of researchers.
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| 키워드(Keyword) |
Steganography
steganalysis
text steganography
generative linguistic
steganography
text generation
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| 파일첨부 |
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