Features-pooling blind JPEG image steganalysis

Chiew Kang Leng; Josef Pieprzyk

doi:10.1109/DICTA.2008.41

Features-pooling blind JPEG image steganalysis

Chiew Kang Leng, Josef Pieprzyk

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

2 Citations (Scopus)

54 Downloads (Pure)

Abstract

In this research, we introduce a new blind steganalysis in detecting grayscale JPEG images. Features-pooling method is employed to extract the steganalytic features and the classification is done by using neural network. Three different steganographic models are tested and classification results are compared to the five state-of-the-art blind steganalysis.

Original language	English
Title of host publication	Proceedings
Subtitle of host publication	digital image computing: techniques and applications, DICTA 2008, 1-3 December 2008 Canberra, Australia
Place of Publication	Los Alamitos, CA
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	96-103
Number of pages	8
ISBN (Print)	9780769534565
DOIs	https://doi.org/10.1109/DICTA.2008.41
Publication status	Published - 2008
Externally published	Yes
Event	Digital Image Computing: Techniques and Applications, DICTA 2008 - Canberra, ACT, Australia Duration: 1 Dec 2008 → 3 Dec 2008

Other

Other	Digital Image Computing: Techniques and Applications, DICTA 2008
Country/Territory	Australia
City	Canberra, ACT
Period	1/12/08 → 3/12/08

Bibliographical note

Copyright 2008 IEEE. Reprinted from DICTA 2008 : digital image computing techniques and applications : proceedings : 1-3 December 2008 Canberra, Australia. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Macquarie Universityâ€™s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

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10.1109/DICTA.2008.41

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Cite this

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title = "Features-pooling blind JPEG image steganalysis",

abstract = "In this research, we introduce a new blind steganalysis in detecting grayscale JPEG images. Features-pooling method is employed to extract the steganalytic features and the classification is done by using neural network. Three different steganographic models are tested and classification results are compared to the five state-of-the-art blind steganalysis.",

author = "Leng, \{Chiew Kang\} and Josef Pieprzyk",

note = "Copyright 2008 IEEE. Reprinted from DICTA 2008 : digital image computing techniques and applications : proceedings : 1-3 December 2008 Canberra, Australia. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Macquarie University{\^a}€{\texttrademark}s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.; Digital Image Computing: Techniques and Applications, DICTA 2008 ; Conference date: 01-12-2008 Through 03-12-2008",

year = "2008",

doi = "10.1109/DICTA.2008.41",

language = "English",

isbn = "9780769534565",

pages = "96--103",

booktitle = "Proceedings",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

}

Leng, CK & Pieprzyk, J 2008, Features-pooling blind JPEG image steganalysis. in Proceedings: digital image computing: techniques and applications, DICTA 2008, 1-3 December 2008 Canberra, Australia., 4700006, Institute of Electrical and Electronics Engineers (IEEE), Los Alamitos, CA, pp. 96-103, Digital Image Computing: Techniques and Applications, DICTA 2008, Canberra, ACT, Australia, 1/12/08. https://doi.org/10.1109/DICTA.2008.41

Features-pooling blind JPEG image steganalysis. / Leng, Chiew Kang; Pieprzyk, Josef.
Proceedings: digital image computing: techniques and applications, DICTA 2008, 1-3 December 2008 Canberra, Australia. Los Alamitos, CA: Institute of Electrical and Electronics Engineers (IEEE), 2008. p. 96-103 4700006.

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

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AB - In this research, we introduce a new blind steganalysis in detecting grayscale JPEG images. Features-pooling method is employed to extract the steganalytic features and the classification is done by using neural network. Three different steganographic models are tested and classification results are compared to the five state-of-the-art blind steganalysis.

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Features-pooling blind JPEG image steganalysis

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