Frequency Spectrum Modification Process-Based Anti-Collusion Mechanism for Audio Signals
Document Type
Article
Publication Date
3-22-2022
Department
Department of Computer Science
Abstract
The collusion attack combines multiple multimedia files into one new file to erase the user identity information. The traditional anti-collusion methods (which aim to trace the traitors) can defend the collusion attack, but they cannot well defend some hybrid collusion attacks (e.g., a collusion attack combined with desynchronization attacks). To address this issue, we propose a frequency spectrum modification process (FSMP) to defend the collusion attack by significantly downgrading the perceptual quality of the colluded file. The severe perceptual quality degradation can demotivate the attackers from launching the collusion attack. Because FSMP is orthogonal to the existing traitor-trace-based methods, it can be combined with the existing methods to provide a double-layer protection against different attacks. In FSMP, after several signal processing procedures (e.g., uneven framing and smoothing), multiple signals (called FSMP signals) can be generated from the host signal. Launching collusion attack using the generated FSMP signals would lead to the energy disturbance and attenuation effect (EDAE) over the colluded signals. Due to the EDAE, FSMP can significantly degrade the perceptual quality of the colluded audio file, thereby thwarting the collusion attack. In addition, FSMP can well defend different hybrid collusion attacks. Theoretical analysis and experimental results confirm the validity of the proposed method.
Publication Title
IEEE Transactions on Cybernetics
Recommended Citation
Zhao, J.,
Zong, T.,
Xiang, Y.,
Hua, G.,
Lei, X.,
Gao, L.,
&
Beliakov, G.
(2022).
Frequency Spectrum Modification Process-Based Anti-Collusion Mechanism for Audio Signals.
IEEE Transactions on Cybernetics, 1-13.
http://doi.org/10.1109/TCYB.2022.3156973
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/15859