A Blockchain Consensus Protocol Based on Multidimensional Parameter Credit

Zexun Jiang, Cong Zha, Yun Fang, Hao Yin

Abstract: With the rapid development of the industrial Internet, it has greatly improved industrial production efficiency. However, challenges such as information asymmetry and the inade-quacy of a single indicator in supporting supply-demand matching have emerged. To address the challenges, we propose a credit-based consensus protocol for the Industrial Internet. It introduces a credit model that combines multidimensional to achieve supply-demand matching and incorporates regulatory preferences for flexible global regulation. Furthermore, a credit-based Proof-of- Work difficulty adjustment method is proposed to enable distributed Industrial Internet collaboration. The effectiveness of the proposed approach is demonstrated through experiments, and future research directions are discussed.

External IDs:dblp:conf/icnidc/JiangZFY23