An Optimized Byzantine Fault Tolerance Algorithm for Medical Data Security
Medical data are an intangible asset and an important resource for the entire society. The mining and application of medical data can generate enormous value. Currently, medical data management is mostly centralized and heavily relies on central servers, which are prone to malfunctions or malicious...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-12-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/12/24/5045 |
| _version_ | 1797381251263365120 |
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| author | Gang Xu Tengkai Yao Kejia Zhang Xiangfei Meng Xin Liu Ke Xiao Xiubo Chen |
| author_facet | Gang Xu Tengkai Yao Kejia Zhang Xiangfei Meng Xin Liu Ke Xiao Xiubo Chen |
| author_sort | Gang Xu |
| collection | DOAJ |
| description | Medical data are an intangible asset and an important resource for the entire society. The mining and application of medical data can generate enormous value. Currently, medical data management is mostly centralized and heavily relies on central servers, which are prone to malfunctions or malicious attacks, making it difficult to form a consensus among multiple parties and achieve secure sharing. Blockchain technology offers a solution to enhance medical data security. However, in medical data security sharing schemes based on blockchain, the widely adopted Practical Byzantine Fault-Tolerant (PBFT) algorithm encounters challenges, including intricate communication, limited scalability, and the inability to dynamically add or remove nodes. These issues make it challenging to address practical requirements effectively. In this paper, we implement an efficient and scalable consensus algorithm based on the PBFT consensus algorithm, referred to as Me-PBFT, which is more suitable for the field of medical data security. First, we design a reputation evaluation model to select more trusted nodes to participate in the system consensus, which is implemented based on a sigmoid function with adjustable difficulty. Second, we implement the division of node roles to construct a dual consensus layer structure. Finally, we design a node dynamic join and exit mechanism on the overall framework of the algorithm. Analysis shows that compared to PBFT and RAFT, ME-PBFT can reduce communication complexity, improve fault tolerance, and have good scalability. It can meet the need for consensus and secure sharing of medical data among multiple parties. |
| first_indexed | 2024-03-08T20:49:42Z |
| format | Article |
| id | doaj.art-59a9d2ede5e443918e80dc478cbe5726 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-08T20:49:42Z |
| publishDate | 2023-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-59a9d2ede5e443918e80dc478cbe57262023-12-22T14:05:21ZengMDPI AGElectronics2079-92922023-12-011224504510.3390/electronics12245045An Optimized Byzantine Fault Tolerance Algorithm for Medical Data SecurityGang Xu0Tengkai Yao1Kejia Zhang2Xiangfei Meng3Xin Liu4Ke Xiao5Xiubo Chen6School of Information Science and Technology, North China University of Technology, Beijing 100144, ChinaSchool of Information Science and Technology, North China University of Technology, Beijing 100144, ChinaSchool of Mathematical Science, Heilongjiang University, Harbin 150080, ChinaSchool of Information Science and Technology, North China University of Technology, Beijing 100144, ChinaSchool of Information Engineering, Inner Mongolia University of Science and Technology, Baotou 014010, ChinaSchool of Information Science and Technology, North China University of Technology, Beijing 100144, ChinaInformation Security Center, State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, ChinaMedical data are an intangible asset and an important resource for the entire society. The mining and application of medical data can generate enormous value. Currently, medical data management is mostly centralized and heavily relies on central servers, which are prone to malfunctions or malicious attacks, making it difficult to form a consensus among multiple parties and achieve secure sharing. Blockchain technology offers a solution to enhance medical data security. However, in medical data security sharing schemes based on blockchain, the widely adopted Practical Byzantine Fault-Tolerant (PBFT) algorithm encounters challenges, including intricate communication, limited scalability, and the inability to dynamically add or remove nodes. These issues make it challenging to address practical requirements effectively. In this paper, we implement an efficient and scalable consensus algorithm based on the PBFT consensus algorithm, referred to as Me-PBFT, which is more suitable for the field of medical data security. First, we design a reputation evaluation model to select more trusted nodes to participate in the system consensus, which is implemented based on a sigmoid function with adjustable difficulty. Second, we implement the division of node roles to construct a dual consensus layer structure. Finally, we design a node dynamic join and exit mechanism on the overall framework of the algorithm. Analysis shows that compared to PBFT and RAFT, ME-PBFT can reduce communication complexity, improve fault tolerance, and have good scalability. It can meet the need for consensus and secure sharing of medical data among multiple parties.https://www.mdpi.com/2079-9292/12/24/5045blockchainconsensus algorithmPBFTmedical |
| spellingShingle | Gang Xu Tengkai Yao Kejia Zhang Xiangfei Meng Xin Liu Ke Xiao Xiubo Chen An Optimized Byzantine Fault Tolerance Algorithm for Medical Data Security Electronics blockchain consensus algorithm PBFT medical |
| title | An Optimized Byzantine Fault Tolerance Algorithm for Medical Data Security |
| title_full | An Optimized Byzantine Fault Tolerance Algorithm for Medical Data Security |
| title_fullStr | An Optimized Byzantine Fault Tolerance Algorithm for Medical Data Security |
| title_full_unstemmed | An Optimized Byzantine Fault Tolerance Algorithm for Medical Data Security |
| title_short | An Optimized Byzantine Fault Tolerance Algorithm for Medical Data Security |
| title_sort | optimized byzantine fault tolerance algorithm for medical data security |
| topic | blockchain consensus algorithm PBFT medical |
| url | https://www.mdpi.com/2079-9292/12/24/5045 |
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