Features-Pooling Blind JPEG Image Steganalysis

descriptionPublicationkeyboard_double_arrow_right Article , Conference object , Part of book or chapter of book 01 Jan 2008 Australia Publisher:IEEEJournal:2008 Digital Image Computing: Techniques and Applications

Authors: Chiew Kang Leng; Josef Pieprzyk;

doi: 10.1109/dicta.2008.41

Features-Pooling Blind JPEG Image Steganalysis

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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.

Country

Australia

Related Organizations

Universiti Malaysia Terengganu
Malaysia
Information Technology University
Pakistan
Queensland University of Technology
Australia
Macquarie University
Australia

Keywords

Features-pooling, Steganalysis, Steganography, Classification, Steganalytic feature

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