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DOI: 10.14569/IJACSA.2025.0160731
PDF

Perceptual Hash Techniques for Audio Copyright Protection in Decentralized Systems

Author 1: N. Kavitha
Author 2: Rashmika S J
Author 3: Reshika A S

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 16 Issue 7, 2025.

  • Abstract and Keywords
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Abstract: The overlap of perceptual hashing technologies with blockchain is an interesting answer to strengthen copyright protection of sound in decentralized networks. As the music society still has to endure attacks on unauthorized duplication and transformation of online content, traditional security does not hold water. Perceptual hashing bridges the gap, creating unique digital fingerprints that are resistant to small-scale modifications, to allow detection of copyright piracy even in edited audio content. When combined with the immutable nature of blockchain and the smart contract functionality, such a new framework not only guarantees ownership verification but also does licensing procedures automatically, thereby doing away with the need for intermediaries. The proposed method addresses the issues of the state-of-the-art methods and performs well under various conditions.

Keywords: Perceptual hashing; blockchain; audio; copyright protection

N. Kavitha, Rashmika S J and Reshika A S. “Perceptual Hash Techniques for Audio Copyright Protection in Decentralized Systems”. International Journal of Advanced Computer Science and Applications (IJACSA) 16.7 (2025). http://dx.doi.org/10.14569/IJACSA.2025.0160731

@article{Kavitha2025,
title = {Perceptual Hash Techniques for Audio Copyright Protection in Decentralized Systems},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2025.0160731},
url = {http://dx.doi.org/10.14569/IJACSA.2025.0160731},
year = {2025},
publisher = {The Science and Information Organization},
volume = {16},
number = {7},
author = {N. Kavitha and Rashmika S J and Reshika A S}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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