A novel mapping scheme for steganalysis

Licong Chen, Yun Q. Shi, Patchara Sutthiwan, Xinxin Niu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

15 Scopus citations


Recently the research on steganalysis for breaking HUGO has been further moved ahead. A novel mapping scheme is reported in this paper. Through a Huffman coding like procedure, this scheme can lower the feature dimensionality from 625 to 120 generated from one residual image as a 4th order co-occurrence matrix is considered. Two experiments have been reported to demonstrate its effectiveness. In breaking the HUGO, the proposed mapping scheme has been applied to the frame work of the state-of-the-art [13] with some minor modification. With a total number of 15,840 features the new method can achieve 87.17% accuracy in BOSSbase ver. 0.92 at 0.4 bpp, outperforming the state-of-the-art.

Original languageEnglish (US)
Title of host publicationDigital Forensics and Watermaking - 11th International Workshop, IWDW 2012, Revised Selected Papers
Number of pages15
StatePublished - 2013
Event11th International Workshop on Digital Forensics and Watermaking, IWDW 2012 - Shanghai, China
Duration: Oct 31 2012Nov 3 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7809 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other11th International Workshop on Digital Forensics and Watermaking, IWDW 2012

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science


  • HUGO (Highly Undetectable Stegonagraphy)
  • Markov process
  • Steganalysis
  • co-occurrence matrix
  • local binary patterns
  • mapping scheme
  • steganography
  • transition probability matrix


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