Steganalysis of MSU Stego Video Based on Block Matching of Interframe Collusion and Motion Detection

MSU Stego Video is a public video steganographic tool, which has strong robustness and is regarded as a real video steganographic tool. In order to increase the detection rate, this paper proposes a new steganoalysis method against MSU, which uses the chessboard character of MSU embedded video, prop...

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Bibliographic Details
Published in:Wuhan University journal of natural sciences 2012, Vol.17 (5), p.441-446
Main Authors: Ren, Yanzhen, Wang, Mingjie, Zhao, Yanbin, Wang, Lina, Cai, Tingting
Format: Article
Language:English
Subjects:
Abandonment
Algorithms
Biomedical and Life Sciences
Blocking
Computer Science
Error detection
Estimates
Frames
Life Sciences
Materials Science
Robustness
信息处理
信息技术
信息系统
计算机
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Summary:MSU Stego Video is a public video steganographic tool, which has strong robustness and is regarded as a real video steganographic tool. In order to increase the detection rate, this paper proposes a new steganoalysis method against MSU, which uses the chessboard character of MSU embedded video, proposes a down-sample block-based collusion method to estimate the original frame and checks the chessboard mode of the different frame between tested frame and estimated frame to detect MSU steganographic evidences. To reduce the error introduced by severe movement of the video content, a method that abandons severe motion blocks from detecting is proposed. The experiment results show that the false negative rate of the proposed algorithm is lower than 5%, and the false positive rate is lower than 2%. Our algorithm has significantly better performance than existing algorithms. Especially to the video that has fast motion, the algorithm has more remarkable performance.
ISSN:1007-1202
1993-4998
DOI:10.1007/s11859-012-0867-7