Length estimation for embedded message using support vector machine

Der Chyuan Lou; Chiang Lung Liu; Chih Lin; Shin Her Wang

doi:10.1109/IIH-MSP.2007.219

Length estimation for embedded message using support vector machine

Der Chyuan Lou^*, Chiang Lung Liu, Chih Lin, Shin Her Wang

^*Corresponding author for this work

National Defense University Taiwan

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

1 Scopus citations

Abstract

Regular singular (RS) and sample pair analysis (SPA) steganalysis methods are highly sensitive to message length which is embedded in stego-image. Nevertheless, they are only applied to spatial domain. Lyu and Farid enhance universal steganalysis methods to detect the stego-image both in spatial and frequency domains, but it could not estimate the length of embedded message. A novel steganalysis method possesses the function of message estimation is presented by combining multi-classification with support vector machines (SVMs). It could also be applied to both spatial and frequency domains. Experimental results show that the efficiency and practicability of the proposed scheme is more feasible than RS and SPA steganalysis methods.

Original language	English
Title of host publication	Proceedings - 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007.
Pages	437-440
Number of pages	4
DOIs	https://doi.org/10.1109/IIH-MSP.2007.219
State	Published - 2007
Externally published	Yes
Event	3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007 - Kaohsiung, Taiwan Duration: 26 11 2007 → 28 11 2007

Publication series

Name	Proceedings - 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007.
Volume	1

Conference

Conference	3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007
Country/Territory	Taiwan
City	Kaohsiung
Period	26/11/07 → 28/11/07

Keywords

Information hiding
Steganalysis
Steganography
Support vector machines

Access to Document

10.1109/IIH-MSP.2007.219

Cite this

Lou, D. C., Liu, C. L., Lin, C., & Wang, S. H. (2007). Length estimation for embedded message using support vector machine. In Proceedings - 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007. (pp. 437-440). Article 4457582 (Proceedings - 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007.; Vol. 1). https://doi.org/10.1109/IIH-MSP.2007.219

Lou, Der Chyuan ; Liu, Chiang Lung ; Lin, Chih et al. / Length estimation for embedded message using support vector machine. Proceedings - 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007.. 2007. pp. 437-440 (Proceedings - 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007.).

@inproceedings{768172d15422440183fcb12299116918,

title = "Length estimation for embedded message using support vector machine",

abstract = "Regular singular (RS) and sample pair analysis (SPA) steganalysis methods are highly sensitive to message length which is embedded in stego-image. Nevertheless, they are only applied to spatial domain. Lyu and Farid enhance universal steganalysis methods to detect the stego-image both in spatial and frequency domains, but it could not estimate the length of embedded message. A novel steganalysis method possesses the function of message estimation is presented by combining multi-classification with support vector machines (SVMs). It could also be applied to both spatial and frequency domains. Experimental results show that the efficiency and practicability of the proposed scheme is more feasible than RS and SPA steganalysis methods.",

keywords = "Information hiding, Steganalysis, Steganography, Support vector machines",

author = "Lou, {Der Chyuan} and Liu, {Chiang Lung} and Chih Lin and Wang, {Shin Her}",

year = "2007",

doi = "10.1109/IIH-MSP.2007.219",

language = "英语",

isbn = "0769529941",

series = "Proceedings - 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007.",

pages = "437--440",

booktitle = "Proceedings - 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007.",

note = "3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007 ; Conference date: 26-11-2007 Through 28-11-2007",

}

Lou, DC, Liu, CL, Lin, C & Wang, SH 2007, Length estimation for embedded message using support vector machine. in Proceedings - 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007.., 4457582, Proceedings - 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007., vol. 1, pp. 437-440, 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007, Kaohsiung, Taiwan, 26/11/07. https://doi.org/10.1109/IIH-MSP.2007.219

Length estimation for embedded message using support vector machine. / Lou, Der Chyuan; Liu, Chiang Lung; Lin, Chih et al.
Proceedings - 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007.. 2007. p. 437-440 4457582 (Proceedings - 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007.; Vol. 1).

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

TY - GEN

T1 - Length estimation for embedded message using support vector machine

AU - Lou, Der Chyuan

AU - Liu, Chiang Lung

AU - Lin, Chih

AU - Wang, Shin Her

PY - 2007

Y1 - 2007

N2 - Regular singular (RS) and sample pair analysis (SPA) steganalysis methods are highly sensitive to message length which is embedded in stego-image. Nevertheless, they are only applied to spatial domain. Lyu and Farid enhance universal steganalysis methods to detect the stego-image both in spatial and frequency domains, but it could not estimate the length of embedded message. A novel steganalysis method possesses the function of message estimation is presented by combining multi-classification with support vector machines (SVMs). It could also be applied to both spatial and frequency domains. Experimental results show that the efficiency and practicability of the proposed scheme is more feasible than RS and SPA steganalysis methods.

AB - Regular singular (RS) and sample pair analysis (SPA) steganalysis methods are highly sensitive to message length which is embedded in stego-image. Nevertheless, they are only applied to spatial domain. Lyu and Farid enhance universal steganalysis methods to detect the stego-image both in spatial and frequency domains, but it could not estimate the length of embedded message. A novel steganalysis method possesses the function of message estimation is presented by combining multi-classification with support vector machines (SVMs). It could also be applied to both spatial and frequency domains. Experimental results show that the efficiency and practicability of the proposed scheme is more feasible than RS and SPA steganalysis methods.

KW - Information hiding

KW - Steganalysis

KW - Steganography

KW - Support vector machines

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M3 - 会议稿件

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SN - 0769529941

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T3 - Proceedings - 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007.

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BT - Proceedings - 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007.

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ER -

Lou DC, Liu CL, Lin C, Wang SH. Length estimation for embedded message using support vector machine. In Proceedings - 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007.. 2007. p. 437-440. 4457582. (Proceedings - 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007.). doi: 10.1109/IIH-MSP.2007.219

Length estimation for embedded message using support vector machine

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