基于关联网络模型的H.264/AVC运动矢量调制信息隐藏检测方法

doi:10.3969/j.issn.0255-8297.2019.05.008

Abstract

Abstract: Motion vector modulated steganographic approach is an important type of information hiding method in H.264/AVC video streams, due to its large embedding capacity and low additional distortion induced in reconstructed video frames. In this paper, a novel video steganalysis algorithm is proposed for this type of information hiding method. Firstly, this paper designs a correlation network model to illustrate the correlation between temporal and spatial adjacent motion vectors. Secondly, we obtain a strong correlation network model by simplifying the original correlation network model through a pruning process, accordingly, the quantitative feature vectors of the strong model can be represented through quantifying the correlation of vertexes for steganalysis purpose. Finally, a steganographic detector based on the extracted feature vectors is built by using the support vector machine (SVM). Experiment results show that the proposed algorithm achieves a satisfying performance with the detection accuracy of more than 90%.

Key words: H.264/AVC, video information hiding, steganalysis, motion vector, correlation network

CLC Number:

P751.1

LI Songbin, YANG Jie, LIU Peng, WANG Lingrui. Steganalysis of Motion Vector-Based Steganography in H.264/AVC by Correlation Network Model[J]. Journal of Applied Sciences, 2019, 37(5): 663-672.

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Steganalysis of Motion Vector-Based Steganography in H.264/AVC by Correlation Network Model

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