Zhengzhou Preschool Education College, Zhengzhou, Henan 450000, China.
Comput Intell Neurosci. 2022 Apr 28;2022:4482217. doi: 10.1155/2022/4482217. eCollection 2022.
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 effective 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.
在过去的两年中，由于疫情和限制措施，音乐创作者和艺术家更加依赖互联网来推广他们的作品、组织现场直播音乐会并与公众交流，他们希望从数字音乐平台获得更高的收入。上述情况引发了一个重要问题，即保护作者的版权，以规范其作品在受版权保护的数字服务中的使用和共享。尽管受版权保护的内容以数字信息的形式传播，但它不是信息，而是具有道德和商业价值的产品。虽然它的所有者无形，其存在归功于创作者的创意思想，但它并不是一种思想。对其使用施加法律和商业条件，不能与对信息自由流动的任何限制联系起来，因为两者之间没有关系。一般来说，通过点对点未经授权交换数字音乐文件侵犯了版权法。这种文件交换是未经授权的，因为它没有得到创作者和受益人的相关许可，因此是非法的。考虑到这一点，本文提出了一种保护音乐技术版权的高效方法，该方法基于人工智能、区块链和加密技术的广泛应用。具体来说，引入了一个基于 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论证。音乐文件被实现为非同质化代币（NFT），激活智能合约。最后，一个先进的协同过滤算法提供了版权保护的有效性建议，以保护音乐行业创作者的版权。建立了一个专门的场景来对所提出的系统进行建模，以验证在开发安全模拟时对音乐知识产权的保护程度，该模拟采用了基于创新共识的零知识和量子全同态加密技术。实验结果表明，该技术可以帮助实现一个具有技术意识的系统，为当前的现实世界问题提供有力的解决方案。
