基于声誉的动态储备证明机制+SPBFT混合共识算法的冷链药品追溯系统设计  

Design of a Cold Chain Drug Traceability System Based on Reputation Dynamic Reserve Proof Mechanism and SPBFT Hybrid Consensus Algorithm

作　　者：卢齐伟 王婷[1] LU Qi-wei;WANG Ting(School of Nursing,Chuzhou City Vocational College,Chuzhou Anhui 239099,China)

机构地区：[1]滁州城市职业学院护理学院,安徽滁州239099

出　　处：《淮阴师范学院学报（自然科学版）》2024年第3期217-223,共7页Journal of Huaiyin Teachers College(Natural Science Edition)

基　　金：安徽省高校自然科学研究项目(KJ2020A1002)。

摘　　要：旨在设计一个高效、安全的冷链药品追溯系统,以提高药品供应链的透明度和可信度.研究基于声誉机制与基于Schnorr的拜占庭容错聚合签名共识算法设计了一个冷链药品追溯系统,通过结合区块链技术与物联网技术,采用基于Schnorr的拜占庭容错聚合签名共识算法以提高共识效率和安全性,同时引入声誉机制以激励节点参与和维护系统安全.实验结果表明,该系统在节点数量增加时,吞吐量下降趋势较为平坦,最终平均吞吐量可达516 TPS,该系统在保证药品追溯信息不可篡改和高效共识方面具有优越性.The research aims to design an efficient and safe cold chain drug traceability system to improve the transparency and credibility of the drug supply chain.A cold chain drug traceability system was designed based on reputation mechanism and Byzantine fault-tolerant aggregation signature consensus algorithm according to Schnorr.By combining blockchain technology and Internet of Things technology,the Byzantine fault-tolerant aggregation signature consensus algorithm based on Schnorr was adopted to improve consensus efficiency and security.At the same time,reputation mechanism was introduced to encourage nodes to participate and maintain system security.The experimental results show that as the number of nodes increases,the throughput of the system decreases relatively flat,and the final average throughput can reach 516 TPS.The system has advantages in ensuring that drug traceability information is not tampered with and efficient consensus is achieved.

关 键 词：声誉机制 冷链药品 签名共识算法 药品供应链 追溯 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]