Category attack for LSB steganalysis of JPEG images

Lee Kwangsoo, Andreas Westfeld, Lee Sangjin

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

14 Citations (Scopus)

Abstract

In this paper, we propose a new method for the detection of LSB embedding in JPEG images. We are motivated by a need to further research the idea of the chi-square attack. The new method simply use the first-order statistics of DCT coefficients, but is more powerful to detect the random embedding in JPEG images. For evaluation, we used versions of Jsteg and Jphide with randomized embedding path to generate stego images in our experiments. In results, the proposed method outperforms the method of Zhang and Ping and is applicable to Jphide. The detection power of both proposed methods is compared to the blind classifier by Fridrich that uses 23 DCT features.

Original languageEnglish
Title of host publicationDigital Watermarking - 5th International Workshop, IWDW 2006, Proceedings
PublisherSpringer Verlag
Pages35-48
Number of pages14
ISBN (Print)3540488251, 9783540488255
Publication statusPublished - 2006
Event5th International Workshop on Digital Watermarking, IWDW 2006 - Jeju Island, Korea, Republic of
Duration: 2006 Nov 82006 Nov 10

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4283 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other5th International Workshop on Digital Watermarking, IWDW 2006
CountryKorea, Republic of
CityJeju Island
Period06/11/806/11/10

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Kwangsoo, L., Westfeld, A., & Sangjin, L. (2006). Category attack for LSB steganalysis of JPEG images. In Digital Watermarking - 5th International Workshop, IWDW 2006, Proceedings (pp. 35-48). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4283 LNCS). Springer Verlag.