Paper
11 October 2023 Improvement of raft consensus algorithm based on credit values on electronic medical record (EMR) blockchain
Xiaoyan Ding, Leelavathi Rajamanickam
Author Affiliations +
Proceedings Volume 12800, Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023); 128001F (2023) https://doi.org/10.1117/12.3004007
Event: 6th International Conference on Computer Information Science and Application Technology (CISAT 2023), 2023, Hangzhou, China
Abstract
With the improvement of medical information security and sharing requirements, the blockchain Electronic Medical Record (EMR) platform has become an effective choice to solve the problem of securely storing and sharing medical information. The consensus mechanism is the key to EMR blockchain technology. Raft consensus is the most widely used non-Byzantine fault-tolerant consensus algorithm, which has the disadvantage that election disputes occur easily, and it cannot adapt to malicious nodes. Therefore, this paper proposes a raft consensus algorithm based on a credit evaluation model (CO-Raft) with the OC-SVM algorithm to filter out Byzantine nodes in the chain and build a dynamic node evaluation model based on the credit value to improve the speed of leader selection. Experiments show that the CO-Raft consensus mechanism in this paper provides better security and higher throughput in the EMR blockchain.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Xiaoyan Ding and Leelavathi Rajamanickam "Improvement of raft consensus algorithm based on credit values on electronic medical record (EMR) blockchain", Proc. SPIE 12800, Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023), 128001F (11 October 2023); https://doi.org/10.1117/12.3004007
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KEYWORDS
Blockchain

Computer security

Network security

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