Image-Adaptive steganalysis for LSB Matching steganography

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8 Scopus citations

Abstract

This paper proposes an image-Adaptive steganalysis algorithm for LSB-Matching steganography. In the proposed method, the content features of the input image are analyzed in order to obtain a classification composed by plain and non-plain regions. In this context, only the plain regions of the input image are considered to determine if the image contains or not hidden information. The experimental results show that the proposed steganalysis algorithm outperforms the conventional LSB-Matching steganalysis algorithms in terms of detection performance and the same time minimizes the inter-database error. The results are shown through the ROC curves that illustrate a better performance of the proposed algorithm.

Original languageEnglish
Title of host publication2016 39th International Conference on Telecommunications and Signal Processing, TSP 2016
EditorsNorbert Herencsar
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages478-483
Number of pages6
ISBN (Electronic)9781509012886
DOIs
StatePublished - 28 Nov 2016
Event39th International Conference on Telecommunications and Signal Processing, TSP 2016 - Vienna, Austria
Duration: 27 Jun 201629 Jun 2016

Publication series

Name2016 39th International Conference on Telecommunications and Signal Processing, TSP 2016

Conference

Conference39th International Conference on Telecommunications and Signal Processing, TSP 2016
Country/TerritoryAustria
CityVienna
Period27/06/1629/06/16

Keywords

  • Difference vector
  • Histogram characteristic function center of mass
  • Image-Adaptive steganalysis
  • LSB-matching steganography
  • Steganalysis

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