Desynchronization Attacks Resilient Watermarking Method Based on Frequency Singular Value Coefficient Modification

doi:10.1109/TASLP.2021.3092555

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Desynchronization Attacks Resilient Watermarking Method Based on Frequency Singular Value Coefficient Modification

2021-01-01

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赵

赵娟 (Juan Zhao)

Tianrui Zong

Yong Xiang (Yong Xiang) *

Longxiang Gao

Wanlei Zhou

Gleb Beliakov

DOI：10.1109/TASLP.2021.3092555

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Abstract

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Desynchronization is a very challenging type of attack in audio watermarking. The traditional singular value decomposition (SVD) based audio watermarking methods embed the watermark information by modifying the singular value of individual segment, which have little resistance against desynchronization attacks. In this paper, we propose a novel frequency singular value coefficient (FSVC) feature, which reflects the ratio between the singular values of two consecutive segments and is insensitive to desynchronization attacks, to carry the watermark bits. To our best knowledge, it is the first time that the ratio between singular values is employed for audio watermarking. In the proposed method, the discrete cosine transform (DCT) is performed on two consecutive segments of the host audio signal and SVD is applied to the DCT coefficients of the mid frequency band of each segment to extract the FSVC. Then the watermark bits are embedded by adjusting the values of the FSVC. The watermark embedding procedure is optimized to minimize the perceptual quality degradation and an error buffer is created to enhance the robustness. As a result, the proposed method can achieve a much higher embedding capacity than the existing methods tackling desynchronization attacks. The impact of desynchronization and common signal processing attacks on the proposed watermarking method is mathematically modeled, and the effectiveness of the proposed method against these attacks is theoretically and experimentally validated.

Keywords:

Watermarking

Discrete cosine transforms

Robustness

Synchronization

Time-domain analysis

Time-frequency analysis

Speech processing

Audio watermarking

desynchronization attacks

discrete cosine transform

singular value decomposition

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