A Blind Detection Method of Video Steganography Based on Feature Fusion

Article Preview

Abstract:

Due to lack of generalanalysis method in video digital steganalysis research area, a blind detection method which is based onfeature fusion aimed at the video steganography is proposed in this paper.Compared with special steganalysis method, the method has better detection rate,lower false alarm rate, and more extensive applicability.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

867-871

Citation:

Online since:

January 2015

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2015 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] I Avcibas, N Memon, B Sankur. Steganalysis using image quality metrics. IEEE Transactions on Image Processing. 12(2003): 221-229.

DOI: 10.1109/tip.2002.807363

Google Scholar

[2] H Farid, S W Lyu. Detecting hidden messages using higher-order statistics and support vector machines, in: Proceedings of 5th International Workshop on Information Hiding, Lecture Notes in Computer Science. Noordwijkerhout, the Netherlands, (2002).

DOI: 10.1007/3-540-36415-3_22

Google Scholar

[3] Bayram S, Dirik a E, Sencar H T, et al. An Ensemble of Classifiers Approach to Steganalysis. CHEN C H, SHI Y Q. JPEG image steganalysis utilizing both inter-block and inter-block correlations∥IEEE International Symposium on Circuits and Systems. Seattle, Washington, USA: IEEE. (2008).

DOI: 10.1109/iscas.2008.4542096

Google Scholar

[4] H Aly. Data hiding in motion vectors of compressed video based on their associated prediction error, IEEE Trans. Inf. Forensics Secur. 6 (2011) 14-18.

DOI: 10.1109/tifs.2010.2090520

Google Scholar

[5] Information on http: /compression. ru/video/stego_video/index_en. html.

Google Scholar

[6] Dengyin Zhang, Guangshuai Shi, et al. CN Patent 201410056321. 3. (2014).

Google Scholar

[7] Hsu C T, Wu J L. DCT-based watermarking for video, IEEE Transactions on Consumer Electronics. 44 (1998) 206-216.

DOI: 10.1109/30.663749

Google Scholar