Volume 8 Number 12 (Dec. 2013)
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JCP 2013 Vol.8(12): 3243-3250 ISSN: 1796-203X
doi: 10.4304/jcp.8.12.3243-3250

Mixing-attack-proof Randomized Embedding Audio Watermarking System

Yuhong Guo1, QingSheng Yuan2, Xuemin Zhao1, Jian Liu1, Yonghong Yan1
1Key Laboratory of Speech Acoustics and Content Understanding, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China
2National Computer network Emergency Response technical Team Coordination Center, Beijing 100029, China


Abstract—Audio mixing greatly degrades the watermarking security. Consequently, it is of importance to introduce mixing-attack-proof audio watermarking algorithms. This article investigates audio mixing attack. A randomized embedding spread spectrum audio watermarking algorithm is accordingly proposed to improve the watermark immunity to mixing attacks. First, balanced modulation is introduced to get rid of the host signal interference and improve the correlation score stability.With more stable correlation scores, a randomized pseudo-noise embedding strategy is proposed to decrease the interference among different mixed components and bit error rate. To further improve the synchronization performances, a multiple synchronization strategy which simultaneously synchronizes different mixed components is also proposed. The experimental results indicate that the proposed algorithm shows a strong level immunity to mixing attacks and it can resist the mixing attack with up to 5 mixed components.

Index Terms—Digital Audio Watermarking, Spread- Spectrum Watermarking, Mixing Attack

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Cite: Yuhong Guo, QingSheng Yuan, Xuemin Zhao, Jian Liu, Yonghong Yan, "Mixing-attack-proof Randomized Embedding Audio Watermarking System," Journal of Computers vol. 8, no. 11, pp. 3243-3250, 2013.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Bimonthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat,etc
E-mail: jcp@iap.org
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