STBS: A statistical algorithm for steganalysis of translation-based steganography

  • Peng Meng*
  • , Liusheng Hang
  • , Zhili Chen
  • , Yuchong Hu
  • , Wei Yang
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

23 Scopus citations

Abstract

Translation-Based Steganography is a secure text steganographic algorithm. In this paper, we present a novel statistical algorithm for steganalysis of Translation-Based Steganography (STBS). We first show that there are fewer high-frequency words in stegotexts than in normal texts. We then design a preprocessor to refine all the given texts to expand the frequency differences between normal texts and stegotexts. 12 dimensional feature vectors sensitive to frequency are derived from the refined texts. We finally use a SVM classifier to classify given texts to normal texts and stegotexts. A series of experiments is given to demonstrate the performance of STBS.

Original languageEnglish
Title of host publicationInformation Hiding - 12th International Conference, IH 2010, Revised Selected Papers
Pages208-220
Number of pages13
DOIs
StatePublished - 2010
Externally publishedYes
Event12th International Conference on Information Hiding, IH 2010 - Calgary, AB, Canada
Duration: 28 Jun 201030 Jun 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6387 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference12th International Conference on Information Hiding, IH 2010
Country/TerritoryCanada
CityCalgary, AB
Period28/06/1030/06/10

Keywords

  • STBS
  • SVM
  • natural language steganography
  • steganalysis
  • text
  • translation-based steganography

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