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Detection of word shift steganography in PDF document

  • Li Lingjun*
  • , Huang Liusheng
  • , Yang Wei
  • , Zhao Xinxin
  • , Yu Zhenshan
  • , Chen Zhili
  • *Corresponding author for this work
  • University of Science and Technology of China

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

Abstract

Word shift is a fundamental format based text steganogra-phy. It embeds secret information in text by shifting words slightly. Compared with study on steganography, research on its steganalysis is still in its infancy. In this paper, we present a blind steganalysis method to detect word shift in PDF document. Our method is to find features sensitive to word shift and use classifier to learn and remember feature differences between natural document and stego one. In order to design sensitive features, we propose two concepts "neighbor difference" and "environment equal", which reveal the spaces' statistical property. Then, we divided the PDF document into two types to make our method work efficiently. At last, we design a series of experiments to demonstrate performance of our method. The detection accuracy of our method can be up to 93.3%. Our initial results shows that our proposed concepts are very useful in text steganal-ysis and offer help for other related works.

Original languageEnglish
Title of host publicationProceedings of the 4th International Conference on Security and Privacy in Communication Networks, SecureComm'08
DOIs
StatePublished - 2008
Externally publishedYes
Event4th International Conference on Security and Privacy in Communication Networks, SecureComm'08 - Istanbul, Turkey
Duration: 22 Sep 200825 Sep 2008

Publication series

NameProceedings of the 4th International Conference on Security and Privacy in Communication Networks, SecureComm'08

Conference

Conference4th International Conference on Security and Privacy in Communication Networks, SecureComm'08
Country/TerritoryTurkey
CityIstanbul
Period22/09/0825/09/08

Keywords

  • Information hiding
  • PDF
  • Steganalysis
  • Text steganography
  • Word shift

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