Proceedings of the 2006 ACM symposium on Applied computing
A Statistical Algorithm for Linguistic Steganography Detection Based on Distribution of Words
ARES '08 Proceedings of the 2008 Third International Conference on Availability, Reliability and Security
Translation-based steganography
Journal of Computer Security - Best papers of the Sec Track at the 2006 ACM Symposium
STBS: a statistical algorithm for steganalysis of translation-based steganography
IH'10 Proceedings of the 12th international conference on Information hiding
Translation-based steganography
IH'05 Proceedings of the 7th international conference on Information Hiding
IH'11 Proceedings of the 13th international conference on Information hiding
| Hi-index | 0.00 |
Translation based steganography (TBS) is a kind of relatively new and secure linguistic steganography. It takes advantage of the "noise" created by automatic translation of natural language text to encode the secret information. Up to date, there is little research on the steganalysis against this kind of linguistic steganography. In this paper, a blind steganalytic method, which is named natural frequency zoned word distribution analysis (NFZ-WDA), is presented. This method has improved on a previously proposed linguistic steganalysis method based on word distribution which is targeted for the detection of linguistic steganography like nicetext and texto. The newmethod aims to detect the application of TBS and uses none of the related information about TBS, its only used resource is a word frequency dictionary obtained from a large corpus, or a so called natural frequency dictionary, so it is totally blind. To verify the effectiveness of NFZ-WDA, two experiments with two-class and multi-class SVM classifiers respectively are carried out. The experimental results show that the steganalytic method is pretty promising.