# Innovative Application of Blockchain Technology for Digital Recipe Copyright Protection
## 2 Literature Review  
With the increasing digitization of content across various domains, the challenge of effectively managing and protecting intellectual property has taken center stage. One of the critical areas where these challenges are highly pronounced is in the digital recipe domain. As technology evolves, so does the need for robust mechanisms to ensure the integrity, authenticity, and security of digital content. In this literature review, we delve into the foundational works and recent advancements in blockchain technology, digital copyright protection, and text similarity detection that serve as the underpinning for our research. In his 2008 paper, \"Bitcoin: A Peer-to-Peer Electronic Cash System\", [PERSON] proposed and practised the blockchain. This groundbreaking technology offers a unique solution to the problem of trust in a networked environment [5]. However, the great potential of blockchain technology does not stop there; in 2013, [PERSON] led the way with Ethereum [6], a blockchain platform that not only supports digital currency [7] functionality but is also capable of running smart contracts, greatly broadening the application areas of blockchain. For digital copyright issues, the smart contract function of Ethereum can realize the automated management and execution of copyright information, making the dissemination of works more standardized and legal. Copyright registration based on blockchain technology also greatly improves the security of copyright information due to its tamper-proof characteristics. These characteristics of Ethereum also provide strong technical support and judicial evidence for the subsequent rights defense activities of copyright holders, protecting the legitimate rights and interests of copyright owners more effectively. Therefore, Ethereum has great application value and development potential in the field of digital copyright [8]. The characteristics of blockchain make it show great potential for copyright protection. Once the information is written into the blockchain, neither the uploader nor the relevant registration organization can modify the registration information, which provides a trustworthy guarantee for copyright registration. In recent years, research on and applications of blockchain for digital copyright protection have also made remarkable progress, providing new ideas and solutions to solve current digital copyright problems. [PERSON], [PERSON] and others explored the application of blockchain and smart contracts in copyright licensing. They proposed that authors can create records of ownership for their works through blockchain and encode smart contracts to license the use of their works. This provides new possibilities for copyright management. However, the article also points out that this method may not fully comply with some fundamental components of copyright law, such as exceptions and limitations, the principle of exhaustion, formal restrictions, the public domain, and fair remuneration [9]. [PERSON] et al. counted and illustrated the infringement status of medical journal copyrights from the perspective of the current infringement status of medical journals, compared the differences between traditional digital copyright protection technology and blockchain technology, and analyzed the advantages of blockchain technology and the feasibility and prospects of blockchain technology applied to digital copyright protection of medical journals [10]. [PERSON] et al. proposed a MedRec system that uses blockchain technology for electronic medical records to provide a comprehensive, immutable log that enables patients to easily access their medical information across providers and treatment sites. The system utilizes blockchain features to manage authentication, confidentiality, accountability, and data sharing. In addition, MedRec enables a data economy by incentivizing medical researchers to participate in network mining and providing them with access to aggregated, anonymized data [11]. [PERSON] et al.