Designing of music copyright protection system based on deep belief network and blockchain

【Author】 Fang, Qi

【Source】SOFT COMPUTING

【影响因子】3.732

【Abstract】The rapid growth of digital music distribution has led to the emergence of new challenges in protecting the rights of musicians and copyright holders. This research paper presents a novel approach to designing a music copyright management system based on deep belief networks (DBNs) and blockchain technology. The integration of these two technologies provides a robust solution for ensuring the authenticity and integrity of copyrighted music content in the digital world. DBNs are utilized to extract meaningful features from music data and accurately classify it, enabling the identification and tracking of copyrighted content. The ability of DBNs to learn complex patterns and representations enhances the system's capability to detect unauthorized use or distribution of copyrighted music. Blockchain technology is employed to provide a decentralized and secure platform for recording and managing copyright-related transactions. Cryptographic hash functions and digital signatures are utilized to ensure data integrity and authenticity. The immutable and tamper-proof nature of the blockchain establishes a reliable and verifiable record of ownership and licensing for copyrighted music. The storage efficiency of our system is optimized through the use of lightweight verifier and Merkle proofs. By storing only block headers and utilizing Merkle proofs for verification, the system minimizes storage overhead while maintaining the ability to validate the integrity of transactions. This optimization contributes to the scalability and cost-effectiveness of the system. Through this research, a comprehensive music copyright management system is introduced, offering a secure framework for detecting and preventing copyright infringement. The integration of DBNs and blockchain technology provides a robust solution for securing the rights of musicians and ensuring the enforcement of intellectual property rights in the digital music landscape.

【Keywords】Blockchain; Deep belief networks; Privacy; Security; Copyright; Perceptual hashing

【发表时间】2023 2023 DEC 23

【收录时间】2024-01-18

【文献类型】综述

【主题类别】

区块链应用-实体经济-音乐领域