Tracking any audio content streamed or played anywhere to its origin or piracy
DOI:
https://doi.org/10.18203/issn.2454-2156.IntJSciRep20232147Keywords:
Audio piracy, Cryptographic fingerprinting, Internet streaming, Digital rights management, Piracy detectionAbstract
Background: The unauthorized distribution and consumption of audio content have been on the rise in recent years, posing a significant threat to content creators and streaming partners. In this research, we proposed a revolutionary method that enables the tracking of audio content to its source of piracy by employing cryptographically invisibly fingerprinted technology.
Methods: Our approach utilizes advanced cryptographic techniques to embed inaudible fingerprints within audio frames. These fingerprints serve as unique identifiers that can be traced back to the source of piracy. Our specialized software employs sophisticated algorithms to detect and extract these cryptographic fingerprints from the pirated audio content. The software then compares the extracted fingerprints with a database of authorized sources to determine the origin of the piracy event.
Results: Through extensive testing and analysis, we have demonstrated the effectiveness of our proposed method in accurately tracking audio content to its source of piracy. Our software consistently detects and reports the source, location, and time of the piracy incidents within a matter of minutes.
Conclusions: The research presented in this paper introduces a novel method for tracking audio content streamed or played over the internet to its source of piracy. By employing cryptographically invisibly fingerprinted technology, we can accurately detect and report piracy incidents within minutes, providing content creators and streaming partners with actionable information to combat piracy effectively.
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References
Zingerle A, Hijmans E. Decentralized authentication of media content: The case of audio. Proceed 14th ed. Cornell University: Int Confer Persuas Technol; 2019: 89-100.
Mittal S, Kumar S. Audio watermarking techniques for copyright protection: A comprehensive review. J King Saud Univers Comput Informat Sci. 2018;30(2):232-47.
Kaur A, Singh G. A survey on audio fingerprinting techniques for music identification. Multimed Tool Applic. 2020;79(33):24719-53.
Merali Y, Mohsin M. Digital watermarking for audio copyright protection: a comprehensive survey. Comput Electric Engineer. 2021;91:107193.
Aucsmith D, Alattar AM. Audio fingerprinting: concepts and applications. Proceed IEEE ICASSP. 2013:221-5.
Lee SK, Hwang WH. A novel audio watermarking technique using singular value decomposition and hybrid chaotic maps. Symmetry. IJCI: 2016;10(8):320.
Ghauri MS, Mushtaq M. Audio fingerprinting: techniques, applications, and challenges. J King Saud Univers Comput Inf Sci. 2017;29(2):155-66.
Kohli S, Gupta P. Digital watermarking in audio signals: techniques and challenges. Multimed Tool App. 2021;80(7):9573-94.
Marques O, Delgado J. Exploring the potentials of watermarking for media authentication and integrity verification. Dig Transform Human Behav. 2020:495-510.
Ogunmolu SE, Singh A. Audio watermarking for multimedia security: a comprehensive overview. Intelligent Computing, Networking, and Informatics. Singapore: Springer; 2018: 389-401.
Jain R, Trivedi MC, Tiwari S. Digital audio watermarking: a survey. In: Bhatia S, Mishra K, Tiwari S, Singh V, eds. Advances in Computer and Computational Sciences. Advances in Intelligent Systems and Computing. Singapore: Springer; 2018.
Bassia P, Pitas I, Nikoliadias N. Robust audio watermarking in the time domain. IEEE. 2001;3(2).