A Secure Data Sharing Scheme Based on Differential Privacy and Blockchain
Yusheng Shen, Sichao Xun, Hongyi Xiao, Xiaoyue Liu, Guocai Li · 2022
When analyzing power consumption data, it will be faced the risk of leakage of privacy of trade secrets. Because this data involves users' privacy information or trade secrets data. Based on the unique characteristics of the Blockchain and the differential privacy theory, which is almost immutable and traceable, this paper proposed a multi-leveled, multi-source, and multi-target data-sharing scheme. This scheme is proposed to meet the requirements of researching power consumption data. The results of the case study showed efficiency for secure power data sharing.