Detection of block DCT-based steganography in gray-scale images

Constantine Manikopoulos, Yun-Qing Shi, Sui Song, Zheng Zhang, Zhicheng Ni, Dekun Zou

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

19 Scopus citations

Abstract

In this paper, a new approach, the steganography detection system (SDS) is proposed and applied to the detection of block DCT-based steganography in gray-scale images, segmented into 8/spl times/x8 blocks. The differences in the coefficients of the block DCT transforms of the original are treated as features. SDS utilizes statistical preprocessing, over an observation region of each image, that generates feature vectors over the regions. These vectors are then fed into a simple neural network classifier. For the experiments conducted here, using 42 images, SDS achieves perfect detection rate with no misclassifications errors.

Original languageEnglish (US)
Title of host publicationProceedings of 2002 IEEE Workshop on Multimedia Signal Processing, MMSP 2002
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages355-358
Number of pages4
ISBN (Electronic)0780377133, 9780780377134
DOIs
StatePublished - Jan 1 2002
Event2002 5th IEEE Workshop on Multimedia Signal Processing, MMSP 2002 - St. Thomas, United States
Duration: Dec 9 2002Dec 11 2002

Publication series

NameProceedings of 2002 IEEE Workshop on Multimedia Signal Processing, MMSP 2002

Other

Other2002 5th IEEE Workshop on Multimedia Signal Processing, MMSP 2002
CountryUnited States
CitySt. Thomas
Period12/9/0212/11/02

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Media Technology

Keywords

  • data hiding
  • neural network classificario
  • statistical modeling
  • steganalysis
  • steganogmphy
  • watermarking

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