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

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

doi:10.1109/MMSP.2002.1203319

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

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

Electrical and Computer Engineering

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

23 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 language	English (US)
Title of host publication	Proceedings of 2002 IEEE Workshop on Multimedia Signal Processing, MMSP 2002
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	355-358
Number of pages	4
ISBN (Electronic)	0780377133, 9780780377134
DOIs	https://doi.org/10.1109/MMSP.2002.1203319
State	Published - 2002
Event	2002 5th IEEE Workshop on Multimedia Signal Processing, MMSP 2002 - St. Thomas, United States Duration: Dec 9 2002 → Dec 11 2002

Publication series

Name	Proceedings of 2002 IEEE Workshop on Multimedia Signal Processing, MMSP 2002

Other

Other	2002 5th IEEE Workshop on Multimedia Signal Processing, MMSP 2002
Country/Territory	United States
City	St. Thomas
Period	12/9/02 → 12/11/02

All Science Journal Classification (ASJC) codes

Signal Processing
Media Technology

Keywords

data hiding
neural network classificario
statistical modeling
steganalysis
steganogmphy
watermarking

Access to Document

10.1109/MMSP.2002.1203319

Cite this

Manikopoulos, C., Shi, Y. Q., Song, S., Zhang, Z., Ni, Z., & Zou, D. (2002). Detection of block DCT-based steganography in gray-scale images. In Proceedings of 2002 IEEE Workshop on Multimedia Signal Processing, MMSP 2002 (pp. 355-358). Article 1203319 (Proceedings of 2002 IEEE Workshop on Multimedia Signal Processing, MMSP 2002). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MMSP.2002.1203319

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title = "Detection of block DCT-based steganography in gray-scale images",

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.",

keywords = "data hiding, neural network classificario, statistical modeling, steganalysis, steganogmphy, watermarking",

author = "Constantine Manikopoulos and Shi, {Yun Qing} and Sui Song and Zheng Zhang and Zhicheng Ni and Dekun Zou",

note = "Publisher Copyright: {\textcopyright} 2002 IEEE.; 2002 5th IEEE Workshop on Multimedia Signal Processing, MMSP 2002 ; Conference date: 09-12-2002 Through 11-12-2002",

year = "2002",

doi = "10.1109/MMSP.2002.1203319",

language = "English (US)",

series = "Proceedings of 2002 IEEE Workshop on Multimedia Signal Processing, MMSP 2002",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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booktitle = "Proceedings of 2002 IEEE Workshop on Multimedia Signal Processing, MMSP 2002",

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Manikopoulos, C, Shi, YQ, Song, S, Zhang, Z, Ni, Z & Zou, D 2002, Detection of block DCT-based steganography in gray-scale images. in Proceedings of 2002 IEEE Workshop on Multimedia Signal Processing, MMSP 2002., 1203319, Proceedings of 2002 IEEE Workshop on Multimedia Signal Processing, MMSP 2002, Institute of Electrical and Electronics Engineers Inc., pp. 355-358, 2002 5th IEEE Workshop on Multimedia Signal Processing, MMSP 2002, St. Thomas, United States, 12/9/02. https://doi.org/10.1109/MMSP.2002.1203319

Detection of block DCT-based steganography in gray-scale images. / Manikopoulos, Constantine; Shi, Yun Qing; Song, Sui et al.
Proceedings of 2002 IEEE Workshop on Multimedia Signal Processing, MMSP 2002. Institute of Electrical and Electronics Engineers Inc., 2002. p. 355-358 1203319 (Proceedings of 2002 IEEE Workshop on Multimedia Signal Processing, MMSP 2002).

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

TY - GEN

T1 - Detection of block DCT-based steganography in gray-scale images

AU - Manikopoulos, Constantine

AU - Shi, Yun Qing

AU - Song, Sui

AU - Zhang, Zheng

AU - Ni, Zhicheng

AU - Zou, Dekun

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Y1 - 2002

N2 - 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.

AB - 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.

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KW - neural network classificario

KW - statistical modeling

KW - steganalysis

KW - steganogmphy

KW - watermarking

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Manikopoulos C, Shi YQ, Song S, Zhang Z, Ni Z, Zou D. Detection of block DCT-based steganography in gray-scale images. In Proceedings of 2002 IEEE Workshop on Multimedia Signal Processing, MMSP 2002. Institute of Electrical and Electronics Engineers Inc. 2002. p. 355-358. 1203319. (Proceedings of 2002 IEEE Workshop on Multimedia Signal Processing, MMSP 2002). doi: 10.1109/MMSP.2002.1203319

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

Abstract

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All Science Journal Classification (ASJC) codes

Keywords

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