Category attack for LSB steganalysis of JPEG images

Lee Kwangsoo, Andreas Westfeld, Sangjin Lee

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 publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages35-48
Number of pages14
Volume4283 LNCS
Publication statusPublished - 2006 Dec 15
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)03029743
ISSN (Electronic)16113349

Other

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

Fingerprint

Steganalysis
Classifiers
Attack
Statistics
Experiments
Chi-square
Order Statistics
Classifier
First-order
Path
Evaluation
Coefficient
Research
Experiment

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Kwangsoo, L., Westfeld, A., & Lee, S. (2006). Category attack for LSB steganalysis of JPEG images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4283 LNCS, pp. 35-48). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4283 LNCS).

Category attack for LSB steganalysis of JPEG images. / Kwangsoo, Lee; Westfeld, Andreas; Lee, Sangjin.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4283 LNCS 2006. p. 35-48 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4283 LNCS).

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

Kwangsoo, L, Westfeld, A & Lee, S 2006, Category attack for LSB steganalysis of JPEG images. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 4283 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4283 LNCS, pp. 35-48, 5th International Workshop on Digital Watermarking, IWDW 2006, Jeju Island, Korea, Republic of, 06/11/8.
Kwangsoo L, Westfeld A, Lee S. Category attack for LSB steganalysis of JPEG images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4283 LNCS. 2006. p. 35-48. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Kwangsoo, Lee ; Westfeld, Andreas ; Lee, Sangjin. / Category attack for LSB steganalysis of JPEG images. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4283 LNCS 2006. pp. 35-48 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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