Linguistic steganography detection based on perplexity

  • Peng Meng*
  • , Liusheng Huang
  • , Zhili Chen
  • , Wei Yang
  • , Dong Li
  • *Corresponding author for this work

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

27 Scopus citations

Abstract

Linguistic steganography is a technique for hiding information into text carriers. Most of the previous work on linguistic steganography was focused on steganography and there were few researches on steganalysis. Research on attacking methods against linguistic steganography plays an important role in Information Security (IS) area. In this paper, a linguistic steganography detection algorithm based on perplexity is presented. An experiment to detect text segments generated by linguistic steganography system NICETEXT is carried out. The result of our experiment is pretty promising. The experimental accuracy of our method on classification of generated text and normal text exceeds 99% when text size is larger than 400 bytes. Even for sentences, the experimental accuracy exceeds 85%.

Original languageEnglish
Title of host publicationProceedings - 2008 International Conference on MultiMedia and Information Technology, MMIT 2008
Pages217-220
Number of pages4
DOIs
StatePublished - 2008
Externally publishedYes
Event2008 International Conference on MultiMedia and Information Technology, MMIT 2008 - Three Gorges, China
Duration: 30 Dec 200831 Dec 2008

Publication series

NameProceedings - 2008 International Conference on MultiMedia and Information Technology, MMIT 2008

Conference

Conference2008 International Conference on MultiMedia and Information Technology, MMIT 2008
Country/TerritoryChina
CityThree Gorges
Period30/12/0831/12/08

Keywords

  • Language model
  • Perplexity
  • Steganalysis
  • Steganography
  • Text processing

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