Active steganalysis for interpolation-error based reversible data hiding

Authors:
Der-Chyuan Lou;Chao-Lung Chou;Hung-Yuan Wei;Hui-Feng Huang
Affiliations:
Department of Computer Science and Information Engineering, Chang Gung University, Kweishan, Taoyuan 33302, Taiwan;Department of Electrical and Electronic Engineering, Chung Cheng Institute of Technology, National Defense University, Taoyuan 33509, Taiwan;Department of Computer Science and Information Engineering, Chang Gung University, Kweishan, Taoyuan 33302, Taiwan;Department of Computer Science and Information Engineering, National Taichung University of Science and Technology, Taichung 404, Taiwan
Venue:
Pattern Recognition Letters
Year:
2013

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Abstract

The interpolation-error based (IEB) reversible data hiding combines difference expansion and histogram-shifting techniques to embed secret data into interpolation-error histograms of a stego-image with high payload and low distortion has been proposed recently. In this paper, an active steganalysis scheme is proposed by analyzing and modeling histogram abnormality in the interpolation-error domain of sub-sampled images with the general Gaussian distribution (GGD) features. A support vector machine (SVM) classifier is trained by estimated parameters of GGD, and then a quantitative algorithm is presented to estimate the embedding length and locations. The experimental results show that the proposed active steganalysis scheme is effective in not only detecting the IEB method but also estimating its message length and embedding locations.