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Combination of Blockchain and AI for Music Intellectual Property Protection

机译:区块链与人工智能相结合,助力音乐知识产权保护

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摘要

In the last two years, due to the pandemic and restrictive measures, the dependence of music creators and artists on the Internet, where they could promote their work, organize live streaming concerts, and talk to the public, has increased and expanded even more and seeks higher revenue from digital music platforms. An important issue that arises from the above statement is protecting the authors' copyright regarding the uses and sharing in the digital services of their works with protected content. Although circulated in digital information, the protected content is not information but a product of ethical and commercial value. While it has an intangible owner and it owes its existence to the creative idea of its creator, it is not an idea. The imposition of legal and commercial conditions on its movement cannot be associated with any restrictions on the free movement of information, as it is not related to them. In general, the unauthorized exchange of digital music files via peer-to-peer violates copyright law. The exchange of files is unauthorized, as it does not have the relevant permission from the creators and beneficiaries and is therefore illegal. With this in mind, this paper proposes a highly effctive way of protecting the copyright of music technology, which is based on the widespread use of artificial intelligence, blockchain, and cryptography technologies. Specifically, an advanced blockchain model based on Hyperledger Fabric is introduced, which, however, uses Quantum Homomorphic Encryption and Quantum Zero-Knowledge Arguments. Music files are implemented as Nonfungible Tokens (NFTs), which activate smart contracts. Finally, an advanced collaborative filtering algorithm provides recommendations for effectiveness in securing the copyrights of music industry creators. A specialized scenario was built to model the proposed system to verify the degree of protection on music intellectual property in developing a security simulation with an innovative consensus-based zero knowledge and the quantum fully homomorphic encryption technique. Experiment results show that this technique can aid in implementing a technologically aware system capable of providing a powerful answer to a current real-world problem.
机译:在过去的两年里,由于疫情和限制性措施,音乐创作者和艺术家对互联网的依赖,他们可以在那里宣传自己的作品,组织直播音乐会,与公众交谈,增加和扩大,并寻求更高的收入从数字音乐平台。上述声明产生的一个重要问题是保护作者在数字服务中使用和共享其受保护内容的作品的版权。虽然以数字信息的形式传播,但受保护的内容不是信息,而是具有道德和商业价值的产品。虽然它有一个无形的所有者,它的存在归功于其创造者的创造性想法,但它不是一个想法。对其流动施加法律和商业条件不能与对信息自由流动的任何限制有关,因为它与它们无关。一般来说,未经授权通过点对点交换数字音乐文件违反了版权法。文件交换是未经授权的,因为它没有得到创建者和受益人的相关许可,因此是非法的。有鉴于此,本文提出了一种基于人工智能、区块链和密码学技术的广泛使用,保护音乐技术版权的高效方法。具体来说,引入了一种基于Hyperledger Fabric的高级区块链模型,该模型使用量子同态加密和量子零知识参数。音乐文件被实现为非同质化代币(NFT),可激活智能合约。最后,一种先进的协作过滤算法为保护音乐行业创作者的版权提供了有效性建议。构建了一个专门的场景来模拟所提出的系统,以验证具有创新的基于共识的零知识和量子全同态加密技术的安全模拟对音乐知识产权的保护程度。实验结果表明,该技术可以帮助实现一个技术感知系统,该系统能够为当前的现实世界问题提供强有力的答案。

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