Security Consensus Algorithm of Medical Data Based on Credit Rating

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

doi:10.11999/JEIT200893

Volume 44 Issue 1

Jan. 2022

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Article Navigation > Journal of Electronics & Information Technology > 2022 > 44(1): 279-287

CHEN Yourong, CHEN Hao, HAN Meng, LIU Banteng, WANG Zhangquan, REN Tiaojuan. Security Consensus Algorithm of Medical Data Based on Credit Rating[J]. Journal of Electronics & Information Technology, 2022, 44(1): 279-287. doi: 10.11999/JEIT200893

Citation:

CHEN Yourong, CHEN Hao, HAN Meng, LIU Banteng, WANG Zhangquan, REN Tiaojuan. Security Consensus Algorithm of Medical Data Based on Credit Rating[J]. Journal of Electronics & Information Technology, 2022, 44(1): 279-287. doi: 10.11999/JEIT200893

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Security Consensus Algorithm of Medical Data Based on Credit Rating

doi: 10.11999/JEIT200893

1.
College of Information Science and Technology, Zhejiang Shuren University, Hangzhou 310015, China
2.
School of Computer and Artificial Intelligence, Changzhou University, Changzhou 213164, China
3.
College of Computer Science and Technology, Zhejiang University, Hangzhou 310013, China
4.
College of Computing and Software Engineering, Kennesaw State University, Marietta 30060, USA

Funds: The “Ling Yan” Research and Development Project of Science and Technology Department of Zhejiang Province (2022C03122), The Public Welfare Technology Application and Research Projects of Zhejiang Province of China (LGG19F010011, LGF19F010005)

Received Date: 2020-10-19
Rev Recd Date: 2021-05-27

Available Online: 2021-07-15

Publish Date: 2022-01-10

Abstract

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.
- Bockchain,
- Medical data,
- Security consensus,
- Cedit grade

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References(20)

References

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