Research on Multi-party Data Secure Interaction Technology for Energy Internet
X J Zhang, Shengjia Miao, Yingjie Zhu, Zi-Xiang Lin, Bin Hu, Linhua Jiang, Junqi Cao · Journal of Physics Conference Series · 2022
Abstract Aiming at the problems of the energy Internet interaction process, which involves more users and intermediate links, and each participant is independent of each other, information asymmetry, and participants do not trust each other, this paper proposes a blockchain-based energy Internet multiparty data interaction model to build a data circulation architecture, including four layers, which are data sensing layer, network transmission layer, data processing layer and application service layer, to realize identity association, cross-domain access, It can realize the basic functions such as identity association, cross-domain access, trust evaluation and privacy protection, and effectively guarantee the secure interaction of multi-party data in the energy Internet.