Steganalysis of data hiding in binary images

  • Xiaoyi Yu*
  • , Yunhong Wang
  • , Tieniu Tan
  • *Corresponding author for this work

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

Abstract

It is commonly believed that data hiding in binary image can't be detected due to little and noise like changes of data hiding. This paper proposes a steganalytic technique that can detect the existence of hidden message embedded in binary images. The technique is based on statistical analysis of the image statistics such as black-and-white border complexity, block noisiness and block coarseness. The probability of both false positive and false negative rates can also be estimated. The experimental results show that the proposed method can detect hiding fact very effectively.

Original languageEnglish
Title of host publicationProceedings of the 17th International Conference on Pattern Recognition, ICPR 2004
EditorsJ. Kittler, M. Petrou, M. Nixon
Pages877-880
Number of pages4
DOIs
StatePublished - 2004
Externally publishedYes
EventProceedings of the 17th International Conference on Pattern Recognition, ICPR 2004 - Cambridge, United Kingdom
Duration: 23 Aug 200426 Aug 2004

Publication series

NameProceedings - International Conference on Pattern Recognition
Volume4
ISSN (Print)1051-4651

Conference

ConferenceProceedings of the 17th International Conference on Pattern Recognition, ICPR 2004
Country/TerritoryUnited Kingdom
CityCambridge
Period23/08/0426/08/04

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