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Collusion-resistant audio fingerprinting system in the modulated complex lapped transform domain.

Garcia-Hernandez JJ, Feregrino-Uribe C, Cumplido R - PLoS ONE (2013)

Bottom Line: Moreover, in order to carry out fingerprint detection using just a fraction of the pirate audio clip, block-based embedding and its corresponding detector is proposed.Extensive simulations show the robustness of the proposed system against average collusion attack.Moreover, by using an efficient Fast Fourier Transform core and standard computer machines it is shown that the proposed system is suitable for real-world scenarios.

View Article: PubMed Central - PubMed

Affiliation: Laboratorio de Tecnologias de Informacion, CINVESTAV-IPN, Tamaulipas, Mexico. jjuan@tamps.cinvestav.mx

ABSTRACT
Collusion-resistant fingerprinting paradigm seems to be a practical solution to the piracy problem as it allows media owners to detect any unauthorized copy and trace it back to the dishonest users. Despite the billionaire losses in the music industry, most of the collusion-resistant fingerprinting systems are devoted to digital images and very few to audio signals. In this paper, state-of-the-art collusion-resistant fingerprinting ideas are extended to audio signals and the corresponding parameters and operation conditions are proposed. Moreover, in order to carry out fingerprint detection using just a fraction of the pirate audio clip, block-based embedding and its corresponding detector is proposed. Extensive simulations show the robustness of the proposed system against average collusion attack. Moreover, by using an efficient Fast Fourier Transform core and standard computer machines it is shown that the proposed system is suitable for real-world scenarios.

Show MeSH
Collusion-attack robustness for several AAC bitrates.
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pone-0065985-g009: Collusion-attack robustness for several AAC bitrates.

Mentions: In order to validate the proposed system in a practical scenario, robustness to collusion attack after lossy compression is explored. Advanced Audio Coding (AAC) is used for experimentation as it has shown better performance in perceptual transparency and compression rates terms as compared with MPEG-1 and MPEG-2 Audio Layer 3 [37]. The block length utilized in the experiment is , and the number of audio clips involved is 225. Figure 9 shows the detector performance under collusion attack after AAC compression for several bitrates.


Collusion-resistant audio fingerprinting system in the modulated complex lapped transform domain.

Garcia-Hernandez JJ, Feregrino-Uribe C, Cumplido R - PLoS ONE (2013)

Collusion-attack robustness for several AAC bitrates.
© Copyright Policy
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC3675215&req=5

pone-0065985-g009: Collusion-attack robustness for several AAC bitrates.
Mentions: In order to validate the proposed system in a practical scenario, robustness to collusion attack after lossy compression is explored. Advanced Audio Coding (AAC) is used for experimentation as it has shown better performance in perceptual transparency and compression rates terms as compared with MPEG-1 and MPEG-2 Audio Layer 3 [37]. The block length utilized in the experiment is , and the number of audio clips involved is 225. Figure 9 shows the detector performance under collusion attack after AAC compression for several bitrates.

Bottom Line: Moreover, in order to carry out fingerprint detection using just a fraction of the pirate audio clip, block-based embedding and its corresponding detector is proposed.Extensive simulations show the robustness of the proposed system against average collusion attack.Moreover, by using an efficient Fast Fourier Transform core and standard computer machines it is shown that the proposed system is suitable for real-world scenarios.

View Article: PubMed Central - PubMed

Affiliation: Laboratorio de Tecnologias de Informacion, CINVESTAV-IPN, Tamaulipas, Mexico. jjuan@tamps.cinvestav.mx

ABSTRACT
Collusion-resistant fingerprinting paradigm seems to be a practical solution to the piracy problem as it allows media owners to detect any unauthorized copy and trace it back to the dishonest users. Despite the billionaire losses in the music industry, most of the collusion-resistant fingerprinting systems are devoted to digital images and very few to audio signals. In this paper, state-of-the-art collusion-resistant fingerprinting ideas are extended to audio signals and the corresponding parameters and operation conditions are proposed. Moreover, in order to carry out fingerprint detection using just a fraction of the pirate audio clip, block-based embedding and its corresponding detector is proposed. Extensive simulations show the robustness of the proposed system against average collusion attack. Moreover, by using an efficient Fast Fourier Transform core and standard computer machines it is shown that the proposed system is suitable for real-world scenarios.

Show MeSH