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Non-Linear-Echo Based Anti-Collusion Mechanism for Audio Signals

Authors :
Zong, Tianrui
Xiang, Yong
Natgunanathan, Iynkaran
Gao, Longxiang
Hua, Guang
Zhou, Wanlei
Source :
IEEE-ACM Transactions on Audio, Speech, and Language Processing; 2021, Vol. 29 Issue: 1 p969-984, 16p
Publication Year :
2021

Abstract

Collusion attacks are considered to be challenging attacks in audio copyright protection. The traditional watermarking algorithms cannot identify the traitors when other attacks, such as desynchronization attacks, are applied with a collusion attack. Instead of tracing the traitors, in this paper we aim to tackle collusion attacks by removing the commercial value from the colluded copy, which will demotivate the attackers from launching collusion attacks. Since the commercial value of an audio signal is directly reflected by its perceptual quality, we propose a novel non-linear-echo generation (NLEG) based algorithm to significantly degrade the perceptual quality of the colluded copy by embedding a time delay sequence into the host signal. The proposed NLEG is also designed to be resilient to common signal processing attacks and desynchronization attacks. Furthermore, the proposed NLEG can be combined with other digital watermarking techniques to enhance its performance on protecting the copyright information. Experimental results show the validity of the proposed NLEG.

Details

Language :
English
ISSN :
23299290
Volume :
29
Issue :
1
Database :
Supplemental Index
Journal :
IEEE-ACM Transactions on Audio, Speech, and Language Processing
Publication Type :
Periodical
Accession number :
ejs55555173
Full Text :
https://doi.org/10.1109/TASLP.2021.3058892