Features-pooling blind jpeg image steganalysis

Leng, Chiew Kang & Pieprzyk, Josef (2008) Features-pooling blind jpeg image steganalysis. In Proceedings of Digital Image Computing: Techniques and Applications (DICTA), 2008, IEEE, Canberra, ACT, pp. 96-103.

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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.

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ID Code: 70245
Item Type: Conference Paper
Refereed: Yes
Keywords: Steganalysis, Steganography, Classification, Features-pooling, Steganalytic feature
DOI: 10.1109/DICTA.2008.41
ISBN: 9780769534565
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100)
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2008 by The Institute of Electrical and Electronics Engineers, Inc.
Deposited On: 16 Apr 2014 01:17
Last Modified: 05 Dec 2014 03:24

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