Security Consensus Algorithm of Medical Data Based on Credit Rating

【Author】 CHEN Yourong; CHEN Hao; HAN Meng; LIU Banteng; WANG Zhangquan; REN Tiaojuan

【Source】JOURNAL OF ELECTRONICS & INFORMATION TECHNOLOGY

【影响因子】0.000

【Abstract】In order to defend against malicious node attacks and improve consensus efficiency in the blockchain-based medical data sharing system, a Security Consensus Algorithm of Medical Data (SCA_MD) based on credit rating is proposed. In SCA_MD, the medical block consensus model which consists of data-based nodes, consensus nodes and supervisory nodes is considered. The corresponding node identity verification mechanism is proposed to achieve rapid verification. Then, a Self-optimizing Credit Rating Division (SCRD) algorithm based on marine predators is proposed to limit the consensus power of malicious nodes. Finally, the voting mechanism and consensus mechanism of representative nodes are proposed to improve the efficiency of consensus. The experimental results show that no matter how the number of malicious nodes changes, SCA_MD can increase transaction throughput, and reduce average transaction delay and average node communication overhead.

【Keywords】Bockchain; Medical data; Security consensus; Cedit grade

【发表时间】2022 JAN

【收录时间】2022-06-11

【文献类型】理论性文章

【主题类别】

区块链技术-核心技术-共识机制