Title :
Attacks on Translation Based Steganography
Author :
Meng, Peng ; Hang, Liusheng ; Yang, Wei ; Chen, Zhili
Author_Institution :
Depart. of CS.&Tech., USTC, Hefei, China
Abstract :
Translation-based steganography (TBS) is a kind of famous text steganography. In this paper, we examine the robustness of TBS and give an effective detection algorithm for TBS. Our algorithm can not only distinguish between natural language text and stego-text which was generated by TBS, but also can distinguish between machine translated text and stego-text. The detection accuracy increases as the text size increases. When the text size is larger than 60 sentences, the detection accuracy is greater than 92%.
Keywords :
language translation; natural language processing; steganography; text analysis; detection algorithm; machine translated text; natural language text; stego-text; text steganography; translation based steganography; Cryptography; Detection algorithms; IEEE members; Image reconstruction; Natural languages; Protocols; Robustness; Steganography; Support vector machine classification; Support vector machines; DMP(Degree of Machine Preference); DMR(Degree of Machine Reversibility); Steganalysis; TBS(Translation-Based Steganography); Text Steganography;
Conference_Titel :
Information, Computing and Telecommunication, 2009. YC-ICT '09. IEEE Youth Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-5074-9
Electronic_ISBN :
978-1-4244-5076-3
DOI :
10.1109/YCICT.2009.5382382
