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Pre-adjustment based anti-collusion mechanism for audio signals

conference contribution
posted on 2019-01-01, 00:00 authored by Juan Zhao, Tianrui Zong, Yong XiangYong Xiang, Longxiang GaoLongxiang Gao, Gleb BeliakovGleb Beliakov
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.

History

Event

Network and System Security. International Conference (13th : 2019 : Sapporo, Japan)

Volume

11928

Series

Network and System Security International Conference

Pagination

305 - 319

Publisher

Springer

Location

Sapporo, Japan

Place of publication

Cham, Switzerland

Start date

2019-12-15

End date

2019-12-18

ISSN

0302-9743

eISSN

1611-3349

ISBN-13

9783030369378

Language

eng

Publication classification

E1 Full written paper - refereed

Editor/Contributor(s)

J Liu, X Huang

Title of proceedings

NSS 2019 : Proceedings of the 13th International Conference on Network and Systems Security 2019