The Blockchain and Homomorphic Encryption Data Sharing Method in Privacy-Preserving Computing

Abstract

As globalization takes place, multiple data resources need to be integrated, and the degree of information flow between regions determines the degree of integration development between regions. Data sharing is even more sensitive when it comes to national and individual interests and is a matter of national security and national interest. Although Privacy-Preserving Computing achieves privacy protection for input data in the process of multi-party collaborative computing. However, the original data, computing process, and results face verification problems. As a result, sharing data on the blockchain will leak private information. To ensure the security of personal privacy information and recording in monitoring systems, This paper studies the use of homomorphic encryption for the secure transfer of blockchain data. Using our solution, the problem of data leakage in data sharing can be addressed by assuming that the data cannot be tampered with. This method has high transmission accuracy and a short transmission time, which effectively prevents data tampering caused by long transmission times.