TY - GEN
T1 - LinL:Lost in n-best list
AU - Meng, Peng
AU - Shi, Yun Qing
AU - Huang, Liusheng
AU - Chen, Zhili
AU - Yang, Wei
AU - Desoky, Abdelrahman
N1 - Funding Information:
Acknowledgment. This work was partly supported by the Major Research Plan of the National Natural Science Foundation of China (No. 90818005) and the National Natural Science Foundation of China (No. 60903217).
PY - 2011
Y1 - 2011
N2 - Translation-based steganography (TBS) is a new kind of text steganographic scheme. However, contemporary TBS methods are vulnerable to statistical attacks. Differently, this paper presents a novel TBS, namely Lost in n-best List, abbreviated as LinL, that is resilient against the current statistical attacks. LinL employs only one Statistical Machine Translator (SMT) in the encoding process which selects one of the n-best list of each cover text sentence in order to camouflage messages in stegotext. The presented theoretical analysis demonstrates that there is a classification accuracy upper bound between normal translated text and the stegotext. When the text size is 1000 sentences, the theoretical maximum classification accuracy is about 60%. The experiment results also show current steganalysis methods cannot detect LinL.
AB - Translation-based steganography (TBS) is a new kind of text steganographic scheme. However, contemporary TBS methods are vulnerable to statistical attacks. Differently, this paper presents a novel TBS, namely Lost in n-best List, abbreviated as LinL, that is resilient against the current statistical attacks. LinL employs only one Statistical Machine Translator (SMT) in the encoding process which selects one of the n-best list of each cover text sentence in order to camouflage messages in stegotext. The presented theoretical analysis demonstrates that there is a classification accuracy upper bound between normal translated text and the stegotext. When the text size is 1000 sentences, the theoretical maximum classification accuracy is about 60%. The experiment results also show current steganalysis methods cannot detect LinL.
KW - LinL
KW - linguistic steganography
KW - natural language steganography
KW - text steganography
KW - translation-based steganography (TBS)
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U2 - 10.1007/978-3-642-24178-9_23
DO - 10.1007/978-3-642-24178-9_23
M3 - Conference contribution
AN - SCOPUS:80052987720
SN - 9783642241772
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 329
EP - 341
BT - Information Hiding - 13th International Conference, IH 2011, Revised Selected Papers
T2 - 13th International Conference on Information Hiding, IH 2011
Y2 - 18 May 2011 through 20 May 2011
ER -