| 基于信用等级划分的医疗数据安全共识算法 |
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| 引用本文： | 陈友荣, 陈浩, 韩蒙, 刘半藤, 王章权, 任条娟. 基于信用等级划分的医疗数据安全共识算法[J]. 电子与信息学报, 2022, 44(1): 279-287. doi: 10.11999/JEIT200893 |
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| 作者姓名： | 陈友荣 陈浩 韩蒙 刘半藤 王章权 任条娟 |
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| 作者单位： | 1.浙江树人大学信息科技学院 杭州 310015;;2.常州大学计算机与人工智能学院 常州 213164;;3.浙江大学计算机科学与技术学院 杭州 310013;;4.美国肯尼索州立大学计算与软件工程学院 玛丽埃塔 30060 |
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| 基金项目： | 浙江省科技厅“领雁”研发攻关计划资助项目(2022C03122)，浙江省公益性技术应用研究计划项目(LGG19F010011% LGF19F010005) |
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| 摘 要： | 在基于区块链的医疗数据共享系统中为防御恶意节点攻击并且提高共识效率，该文提出基于信用等级划分的医疗数据安全共识算法(SCA_MD)。首先，在SCA_MD中，考虑由数据节点、共识节点和监管节点组成的医疗区块共识模型，提出相应的节点身份验证机制，实现快速验证。其次，提出基于海洋掠食者的自我优化信用等级划分算法(SCRD)，以限制恶意节点共识权力。最后改进代表节点选举机制和共识机制，提高共识的效率。实验结果表明：不管恶意节点数量如何变化，SCA_MD都能提高交易吞吐量，降低平均交易时延和平均节点通信开销。
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| 关 键 词： | 区块链 医疗数据 安全共识 信用等级 |
| 收稿时间： | 2020-10-19 |
| 修稿时间： | 2021-05-27 |
Security Consensus Algorithm of Medical Data Based on Credit Rating |
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| 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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| Authors: | CHEN Yourong CHEN Hao HAN Meng LIU Banteng WANG Zhangquan REN Tiaojuan |
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| Affiliation: | 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 |
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| 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. |
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| Keywords: | Bockchain Medical data Security consensus Cedit grade |
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