Affiliation:
1. School of Business, Xijing University, Xi’an 710123, Shaanxi, China
Abstract
In the process of data collaboration, the data source copyright, equity boundaries, and other issues must be ensured to ensure the data owner’s income rights. The data on the blockchain are transaction data. After the data are verified, they are added to the block by the node that has the right to keep accounts. Once the data are added to the blockchain, they cannot be deleted or changed, and only authorized query operations can be performed. The transaction records on the blockchain are completely public, and the fund transactions between accounts can reflect a lot of valuable information, especially some special accounts track the IP of transaction users through methods such as address reuse, taint analysis, and cluster analysis. At the same time, a credit contribution certification mechanism is established to ensure that the contributions are directly proportional to the rewards, and finally, a credit mechanism for data fraud is established. This paper mainly analyzes the key systems of privacy protection through research data and blockchain. The research results show that different companies conduct the Pailler homomorphic encryption of data and use the secure multiparty calculation to obtain the results. The execution of the whole process is controlled by a specific intelligent contract, and the records of the execution process are stored in the blockchain. It can be seen that the blockchain-based data distribution system changes the traditional data distribution mode so that the data source and the data user can interact directly, which promotes the maintenance of the system’s security and stability.
Funder
Department of Education, Shanxi Province
Subject
General Engineering,General Mathematics