Statistical moments based universal steganalysis using JPEG 2-D array and 2-D characteristic function

Chunhua Chen; Yun-Qing Shi; Wen Chen; Guorong Xuan

doi:10.1109/ICIP.2006.312383

Statistical moments based universal steganalysis using JPEG 2-D array and 2-D characteristic function

Chunhua Chen, Yun-Qing Shi, Wen Chen, Guorong Xuan

Electrical and Computer Engineering

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

35 Scopus citations

Abstract

Owing to the popular usage of JPEG images, the steganographic tools for JPEG images emerge increasingly nowadays, among which OutGuess, F5, and the model based steganography are the most advanced. Advancing the previous work, we present a new universal steganalysis method based on statistical moments derived from both image 2-D array and JPEG 2-D array in this paper. In addition to the first order histogram, the second order histogram is considered. Consequently, the moments of 2-D characteristic functions are also used for steganalysis. Extensive experimental works have shown that the proposed method outperforms in general the prior-arts of steganalysis methods in attacking the three aforesaid steganographic schemes.

Original language	English (US)
Title of host publication	2006 IEEE International Conference on Image Processing, ICIP 2006 - Proceedings
Pages	105-108
Number of pages	4
DOIs	https://doi.org/10.1109/ICIP.2006.312383
State	Published - Dec 1 2006
Event	2006 IEEE International Conference on Image Processing, ICIP 2006 - Atlanta, GA, United States Duration: Oct 8 2006 → Oct 11 2006

Publication series

Name	Proceedings - International Conference on Image Processing, ICIP
ISSN (Print)	1522-4880

Other

Other	2006 IEEE International Conference on Image Processing, ICIP 2006
Country/Territory	United States
City	Atlanta, GA
Period	10/8/06 → 10/11/06

All Science Journal Classification (ASJC) codes

Software
Computer Vision and Pattern Recognition
Signal Processing

Keywords

JPEG
Moment
Steganalysis
Universal

Access to Document

10.1109/ICIP.2006.312383

Cite this

Chen, C., Shi, Y-Q., Chen, W., & Xuan, G. (2006). Statistical moments based universal steganalysis using JPEG 2-D array and 2-D characteristic function. In 2006 IEEE International Conference on Image Processing, ICIP 2006 - Proceedings (pp. 105-108). Article 4106477 (Proceedings - International Conference on Image Processing, ICIP). https://doi.org/10.1109/ICIP.2006.312383

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title = "Statistical moments based universal steganalysis using JPEG 2-D array and 2-D characteristic function",

abstract = "Owing to the popular usage of JPEG images, the steganographic tools for JPEG images emerge increasingly nowadays, among which OutGuess, F5, and the model based steganography are the most advanced. Advancing the previous work, we present a new universal steganalysis method based on statistical moments derived from both image 2-D array and JPEG 2-D array in this paper. In addition to the first order histogram, the second order histogram is considered. Consequently, the moments of 2-D characteristic functions are also used for steganalysis. Extensive experimental works have shown that the proposed method outperforms in general the prior-arts of steganalysis methods in attacking the three aforesaid steganographic schemes.",

keywords = "JPEG, Moment, Steganalysis, Universal",

author = "Chunhua Chen and Yun-Qing Shi and Wen Chen and Guorong Xuan",

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series = "Proceedings - International Conference on Image Processing, ICIP",

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Chen, C, Shi, Y-Q, Chen, W & Xuan, G 2006, Statistical moments based universal steganalysis using JPEG 2-D array and 2-D characteristic function. in 2006 IEEE International Conference on Image Processing, ICIP 2006 - Proceedings., 4106477, Proceedings - International Conference on Image Processing, ICIP, pp. 105-108, 2006 IEEE International Conference on Image Processing, ICIP 2006, Atlanta, GA, United States, 10/8/06. https://doi.org/10.1109/ICIP.2006.312383

Statistical moments based universal steganalysis using JPEG 2-D array and 2-D characteristic function. / Chen, Chunhua; Shi, Yun-Qing; Chen, Wen et al.
2006 IEEE International Conference on Image Processing, ICIP 2006 - Proceedings. 2006. p. 105-108 4106477 (Proceedings - International Conference on Image Processing, ICIP).

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

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AU - Chen, Chunhua

AU - Shi, Yun-Qing

AU - Chen, Wen

AU - Xuan, Guorong

PY - 2006/12/1

Y1 - 2006/12/1

N2 - Owing to the popular usage of JPEG images, the steganographic tools for JPEG images emerge increasingly nowadays, among which OutGuess, F5, and the model based steganography are the most advanced. Advancing the previous work, we present a new universal steganalysis method based on statistical moments derived from both image 2-D array and JPEG 2-D array in this paper. In addition to the first order histogram, the second order histogram is considered. Consequently, the moments of 2-D characteristic functions are also used for steganalysis. Extensive experimental works have shown that the proposed method outperforms in general the prior-arts of steganalysis methods in attacking the three aforesaid steganographic schemes.

AB - Owing to the popular usage of JPEG images, the steganographic tools for JPEG images emerge increasingly nowadays, among which OutGuess, F5, and the model based steganography are the most advanced. Advancing the previous work, we present a new universal steganalysis method based on statistical moments derived from both image 2-D array and JPEG 2-D array in this paper. In addition to the first order histogram, the second order histogram is considered. Consequently, the moments of 2-D characteristic functions are also used for steganalysis. Extensive experimental works have shown that the proposed method outperforms in general the prior-arts of steganalysis methods in attacking the three aforesaid steganographic schemes.

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KW - Steganalysis

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Statistical moments based universal steganalysis using JPEG 2-D array and 2-D characteristic function

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