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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
Detection rate of colluders in function of block length, .
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pone-0065985-g006: Detection rate of colluders in function of block length, .

Mentions: The higher block length the higher collusion-attack robustness. However, for the increase in performance is not significant in comparison with as it can be seen in Figure 5. Moreover, the computing resources for computing FFT in the MCLT and DCT transforms can be critical for some platforms when the number of points is larger [36]. Therefore, , seems to be the best option as it is possible to detect more colluders users from the totality of them. Figure 6 shows the detection rate of colluders in function of block length, . This confirms what mentioned from results in Figure 5.


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

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

Detection rate of colluders in function of block length, .
© Copyright Policy
Related In: Results  -  Collection

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

pone-0065985-g006: Detection rate of colluders in function of block length, .
Mentions: The higher block length the higher collusion-attack robustness. However, for the increase in performance is not significant in comparison with as it can be seen in Figure 5. Moreover, the computing resources for computing FFT in the MCLT and DCT transforms can be critical for some platforms when the number of points is larger [36]. Therefore, , seems to be the best option as it is possible to detect more colluders users from the totality of them. Figure 6 shows the detection rate of colluders in function of block length, . This confirms what mentioned from results in Figure 5.

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