Detection of word shift steganography in PDF document

  • Authors:
  • Li Lingjun;Huang Liusheng;Yang Wei;Zhao Xinxin;Yu Zhenshan;Chen Zhili

  • Affiliations:
  • NHPCC, USTC, Hefei, P.R. China and Suzhou Institute for Advanced Study, USTC;NHPCC, USTC, Hefei, P.R. China and Suzhou Institute for Advanced Study, USTC;NHPCC, USTC, Hefei, P.R. China and Suzhou Institute for Advanced Study, USTC;NHPCC, USTC, Hefei, P.R. China and Suzhou Institute for Advanced Study, USTC;NHPCC, USTC, Hefei, P.R. China and Suzhou Institute for Advanced Study, USTC;NHPCC, USTC, Hefei, P.R. China and Suzhou Institute for Advanced Study, USTC

  • Venue:
  • Proceedings of the 4th international conference on Security and privacy in communication netowrks
  • Year:
  • 2008

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Abstract

Word shift is a fundamental format based text steganography. 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 steganalysis and offer help for other related works.