Pre-adjustment Based Anti-collusion Mechanism for Audio Signals

Collusion attack is considered as one of the most popular and challenging attacks for audio signals, which violates the copyright seriously. Conventional methods cannot cope with the hybrid attack which consists of collusion attack and other attacks. In this paper, we propose a pre-adjustment process (PAP) based mechanism to tackle it by destroying the perceptual quality of the colluded signal, which removes the motivation of traitors to implement collusion attack. We transform the host audio signal into DCT domain and segment the DCT coefficients into blocks. Then the DCT coefficients are modified according to a pre-designed adjustment matrix (AM) to generate the PAP signal. When multiple PAP signals are averaged to generate the colluded signal, the energy of certain frequency bands in the colluded signal will be eliminated or reduced, which degrades the perceptual quality of the colluded signal greatly. The proposed method can withstand not only collusion attack but also hybrid attacks. It is also secure, as the secret keys used in PAP will not be passed to the receiver. By combining the proposed method with other leading-edge watermarking algorithms, its performance on copyright protection can be further improved. Theoretical analysis and experimental results show the superiority of the proposed mechanism.

[1]  Mark R. Pickering,et al.  Robust DT CWT-Based DIBR 3D Video Watermarking Using Chrominance Embedding , 2016, IEEE Transactions on Multimedia.

[2]  Peter Lambert,et al.  A Novel Video Watermarking Approach Based on Implicit Distortions , 2018, IEEE Transactions on Consumer Electronics.

[3]  Minquan Cheng,et al.  On Anti-Collusion Codes and Detection Algorithms for Multimedia Fingerprinting , 2011, IEEE Transactions on Information Theory.

[4]  Jun Wu,et al.  A New Digital Image Watermarking Algorithm Resilient to Desynchronization Attacks , 2007, IEEE Transactions on Information Forensics and Security.

[5]  Xin Yao,et al.  SNR-Constrained Heuristics for Optimizing the Scaling Parameter of Robust Audio Watermarking , 2018, IEEE Transactions on Multimedia.

[6]  Arnaud Dessein,et al.  An Information-Geometric Approach to Real-Time Audio Segmentation , 2013, IEEE Signal Processing Letters.

[7]  Wanlei Zhou,et al.  A Dual-Channel Time-Spread Echo Method for Audio Watermarking , 2012, IEEE Transactions on Information Forensics and Security.

[8]  Min Wu,et al.  Anti-collusion forensics of multimedia fingerprinting using orthogonal modulation , 2005, IEEE Transactions on Image Processing.

[9]  Shubham Gupta,et al.  Combined DWT–DCT-Based Video Watermarking Algorithm Using Arnold Transform Technique , 2017 .

[10]  Song Guo,et al.  Patchwork-Based Audio Watermarking Method Robust to De-synchronization Attacks , 2014, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

[11]  Paul H. Siegel,et al.  Editorial: The transactions goes monthly , 2002, IEEE Trans. Inf. Theory.

[12]  Ingemar J. Cox,et al.  Secure spread spectrum watermarking for multimedia , 1997, IEEE Trans. Image Process..

[13]  Hang Zhou,et al.  Screen-Shooting Resilient Watermarking , 2019, IEEE Transactions on Information Forensics and Security.

[14]  David Megías,et al.  Secure logarithmic audio watermarking scheme based on the human auditory system , 2013, Multimedia Systems.

[15]  Ja-Ling Wu,et al.  Discrete cosine transform in error control coding , 1995, IEEE Trans. Commun..

[16]  Thomas Sporer,et al.  PEAQ - The ITU Standard for Objective Measurement of Perceived Audio Quality , 2000 .

[17]  Min Wu,et al.  Collusion-resistant fingerprinting for multimedia , 2004 .

[18]  Rabab Kreidieh Ward,et al.  Robust Image Watermarking Based on Multiscale Gradient Direction Quantization , 2011, IEEE Transactions on Information Forensics and Security.

[19]  Yujuan Quan,et al.  Audio watermarking algorithm against synchronization attacks using global characteristics and adaptive frame division , 2019, Signal Process..

[20]  Jiwu Huang,et al.  Patchwork-Based Audio Watermarking Robust Against De-Synchronization and Recapturing Attacks , 2019, IEEE Transactions on Information Forensics and Security.

[21]  Indranil Sengupta,et al.  An audio watermarking scheme using singular value decomposition and dither-modulation quantization , 2011, Multimedia Tools and Applications.