RG-BFT Chang'an Chain Carbon Emission Data Authentication System Based on RG-BFT
Huazhong Sun, Guoqiang Li, Kai Zhang, Ruotong Wen · 2024
In today's world, global climate change is an increasingly serious problem, and electricity is the industry with the largest share of carbon emissions in China. Carbon emission monitoring and emission reduction have become the focus of international attention. Traditional carbon emission monitoring systems have problems such as data tampering and information asymmetry; traditional identity authentication relies on a trusted third party, and its centralized identity management and authentication method is susceptible to a single point of failure and thus leads to information leakage. Therefore, this paper proposes a carbon emission monitoring system based on blockchain and identity authentication, adopting a Byzantine fault-tolerant algorithm (RG-BFT) based on random grouping to realize the reduction of consensus latency and communication overhead, and to improve the consensus efficiency; constructing an identity authentication model based on Chang'an Chain, and proposing an identity authentication scheme based on Chang'an Chain's digital certificates and Public Key Infrastructure (PKI) to simplify the authentication process so as to Improve the authentication efficiency. Through the application of these advanced technologies, we hope to establish a more transparent, efficient and credible carbon market mechanism on a global scale.