【Author】
Dhiman, Gaurav; Rashid, Junaid; Kim, Jungeun; Juneja, Sapna; Viriyasitavat, Wattana; Gulati, Kamal
【Source】IETE JOURNAL OF RESEARCH
【Abstract】The Healthcare Byzantine consensus method (HBFT) has poor scalability, arbitrary master node selection, and high network overhead in the healthcare scenario. This research constructs and proposes an optimized Byzantine consensus algorithm for the alliance chain. First, create roles for nodes in the cluster, provide them additional permissions based on their responsibilities, and build a dynamic network access method for nodes with various permissions. Second, reputation-based voting and FTS are meant for production node selection. The tree-combined voting algorithm assures election security and fairness. Finally, the HBFT consensus mechanism is optimized, reducing network overhead. The suggested POC consensus algorithm has high features dynamics, election security, and minimal overhead when compared to the HBFT algorithm.
【Keywords】Health care; bitcoin; blockchain; Byzantine consensus; Fault tolerance
【摘要】医疗保健拜占庭共识方法（HBFT）在医疗保健场景下具有可扩展性差、主节点选择随意、网络开销大等问题。本研究构建并提出了一种优化的联盟链拜占庭共识算法。首先，为集群中的节点创建角色，根据其职责为其提供额外的权限，并为具有不同权限的节点构建动态网络访问方法。其次，基于声誉的投票和FTS是为了生产节点的选择。树状组合的投票算法保证了选举的安全性和公平性。最后，优化HBFT共识机制，减少网络开销。与HBFT算法相比，建议的POC共识算法具有较高的特征动态性、选举安全性和最小的开销。
【关键词】医疗保健；比特币；区块链；拜占庭式共识；容错性
【文献类型】Article; Early Access
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