Attack on JPEG2000 steganography using LRCA

Hwajong Oh, Kwangsoo Lee, Sangjin Lee

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

Abstract

In this paper, using a new steganalytic method, namely the left-and-right cube analysis (LRCA), we explore the steganography exploiting the JPEG2000 image as the carrier medium, where the steganography works by substituting message bits for the least significant bits (LSBs) of the quantized wavelet coefficients. For the achievement of the LRCA implementation on JPEG2000 images, we establish an appropriate sampling rule to extract the sample vectors from the image data, i, e., the quantized wavelet coefficients, in the wavelet domain. In experiments, we used the LSB steganography and the bit-plane complexity segmentation (BPCS) steganography in order to generate the stego images. In results, the proposed method works well for both steganographic methods, and outperforms some other previous steganalytic methods,

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages268-281
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

Steganography
JPEG2000
Regular hexahedron
Attack
Wavelet Coefficients
Wavelets
Segmentation
Sampling
Experiment
Experiments

ASJC Scopus subject areas

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

Cite this

Oh, H., Lee, K., & Lee, S. (2006). Attack on JPEG2000 steganography using LRCA. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4283 LNCS, pp. 268-281). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4283 LNCS).

Attack on JPEG2000 steganography using LRCA. / Oh, Hwajong; Lee, Kwangsoo; Lee, Sangjin.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4283 LNCS 2006. p. 268-281 (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

Oh, H, Lee, K & Lee, S 2006, Attack on JPEG2000 steganography using LRCA. 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. 268-281, 5th International Workshop on Digital Watermarking, IWDW 2006, Jeju Island, Korea, Republic of, 06/11/8.
Oh H, Lee K, Lee S. Attack on JPEG2000 steganography using LRCA. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4283 LNCS. 2006. p. 268-281. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Oh, Hwajong ; Lee, Kwangsoo ; Lee, Sangjin. / Attack on JPEG2000 steganography using LRCA. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4283 LNCS 2006. pp. 268-281 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{084dd428b14648858d2aa6fbc0725736,
title = "Attack on JPEG2000 steganography using LRCA",
abstract = "In this paper, using a new steganalytic method, namely the left-and-right cube analysis (LRCA), we explore the steganography exploiting the JPEG2000 image as the carrier medium, where the steganography works by substituting message bits for the least significant bits (LSBs) of the quantized wavelet coefficients. For the achievement of the LRCA implementation on JPEG2000 images, we establish an appropriate sampling rule to extract the sample vectors from the image data, i, e., the quantized wavelet coefficients, in the wavelet domain. In experiments, we used the LSB steganography and the bit-plane complexity segmentation (BPCS) steganography in order to generate the stego images. In results, the proposed method works well for both steganographic methods, and outperforms some other previous steganalytic methods,",
author = "Hwajong Oh and Kwangsoo Lee and Sangjin Lee",
year = "2006",
month = "12",
day = "15",
language = "English",
isbn = "3540488251",
volume = "4283 LNCS",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "268--281",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

}

TY - GEN

T1 - Attack on JPEG2000 steganography using LRCA

AU - Oh, Hwajong

AU - Lee, Kwangsoo

AU - Lee, Sangjin

PY - 2006/12/15

Y1 - 2006/12/15

N2 - In this paper, using a new steganalytic method, namely the left-and-right cube analysis (LRCA), we explore the steganography exploiting the JPEG2000 image as the carrier medium, where the steganography works by substituting message bits for the least significant bits (LSBs) of the quantized wavelet coefficients. For the achievement of the LRCA implementation on JPEG2000 images, we establish an appropriate sampling rule to extract the sample vectors from the image data, i, e., the quantized wavelet coefficients, in the wavelet domain. In experiments, we used the LSB steganography and the bit-plane complexity segmentation (BPCS) steganography in order to generate the stego images. In results, the proposed method works well for both steganographic methods, and outperforms some other previous steganalytic methods,

AB - In this paper, using a new steganalytic method, namely the left-and-right cube analysis (LRCA), we explore the steganography exploiting the JPEG2000 image as the carrier medium, where the steganography works by substituting message bits for the least significant bits (LSBs) of the quantized wavelet coefficients. For the achievement of the LRCA implementation on JPEG2000 images, we establish an appropriate sampling rule to extract the sample vectors from the image data, i, e., the quantized wavelet coefficients, in the wavelet domain. In experiments, we used the LSB steganography and the bit-plane complexity segmentation (BPCS) steganography in order to generate the stego images. In results, the proposed method works well for both steganographic methods, and outperforms some other previous steganalytic methods,

UR - http://www.scopus.com/inward/record.url?scp=33845416398&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33845416398&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:33845416398

SN - 3540488251

SN - 9783540488255

VL - 4283 LNCS

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 268

EP - 281

BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

ER -