一个新的轻量级医疗区块链数据查询方案
Yunzhen Zhu1, Xiaohong Deng2,3, Jiayan Liu4
1School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou, 341000, China. 6720230780@mail.jxust.edu.cn.
本研究介绍了一种高效的轻量级医疗区块链数据查询方案. 它将查询速度提高15%,并提高移动医疗保健应用程序的数据不存在证明准确性.
科学领域:
- 计算机科学 计算机科学
- 区块链技术 区块链技术
- 医疗信息学 医疗信息学
背景情况:
- 轻量级医疗区块链面临着数据查询效率和不存在证明方面的挑战.
- 现有计划缺乏优化存储和强大的验证机制.
- 像移动医疗保健这样的资源有限的环境需要高效的数据管理解决方案.
研究的目的:
- 提出一个新的轻量级医疗区块链数据查询方案.
- 提高数据查询效率和不存在证明的准确性.
- 提高系统安全性和适用于资源有限的场景的适用性.
主要方法:
- 利用XGBoost算法预测医疗数据重量和优化存储架构.
- 开发了一种高效的查询方法,结合了聚合的Bloom过器和Merkle-Huffman (MH) 树.
- 实施了多节点协作验证机制与布鲁姆过器和数据不存在证明的动态声誉系统.
主要成果:
- 与现有方案相比,查询效率大约提高了15%.
- 通过细分过和重量优化减少了查询路径长度.
- 通过多节点共识,尽量减少假阳性和提高查询准确性和可靠性.
结论:
- 拟议的方案显著改善了链上数据查询性能.
- 多节点协作验证有效地减轻恶意攻击风险,增强系统安全.
- 该解决方案特别适用于资源有限的移动医疗保健应用程序.
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