Identifying steganographic payload location in binary image

Kang Leng Chiew, Josef Pieprzyk

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

4 Citations (Scopus)

Abstract

In this paper, we propose a steganalysis method that is able to identify the locations of stego bearing pixels in the binary image. In order to do that, our proposed method will calculate the residual between a given stego image and its estimated cover image. After that, we will compute the local entropy difference between these two versions of images as well. Finally, we will compute the mean of residual and mean of local entropy difference across multiple stego images. From these two means, the locations of stego bearing pixels can be identified. The presented empirical results demonstrate that our proposed method can identify the stego bearing locations of near perfect accuracy when sufficient stego images are supplied. Hence, our proposed method can be used to reveal which pixels in the binary image have been used to carry the secret message.

Original languageEnglish
Title of host publicationAdvances in Multimedia Information Processing - PCM 2010
Subtitle of host publication11th Pacific Rim Conference on Multimedia Shanghai, China, September 21-24, 2010 Proceedings, Part I
EditorsGuoping Qiu, Kin Man Lam, Hitoshi Kiya, Xiang-Yang Xue, C.-C. Jay Kuo, Michael S. Lew
Place of PublicationBerlin; Heidelberg
PublisherSpringer, Springer Nature
Pages590-600
Number of pages11
ISBN (Print)3642157017, 9783642157011
DOIs
Publication statusPublished - 2010
Event11th Pacific Rim Conference on Multimedia, PCM 2010 - Shanghai, China
Duration: 21 Sep 201024 Sep 2010

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
NumberPART 1
Volume6297
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other11th Pacific Rim Conference on Multimedia, PCM 2010
CountryChina
CityShanghai
Period21/09/1024/09/10

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