计算机科学 ›› 2022, Vol. 49 ›› Issue (3): 346-353.doi: 10.11896/jsjkx.210700068
李素, 宋宝燕, 李冬, 王俊陆
LI Su, SONG Bao-yan, LI Dong, WANG Jun-lu
摘要： 现有区块链系统多采用平等挖矿模式,所有记账人(实体)将账本记录在单一主链上,数据存储具有随机性,且在复杂或分类金融场景下,主链数据难以关联或规律存储,导致存储及查询效率很低;同时,现有区块链系统中事件溯源大多只查询到源区块,不能判识实体间的隐含关联,查询具有局限性。针对这些问题,提出一种复合区块链关联事件溯源方法。该方法首先构建区块链复合链式存储结构模型,提出私有链和联盟链的概念,实现复杂或分类场景下的自适应数据关联存储;然后,追溯查询时,在获取到事件源实体区块的基础上,建立辅助存储空间,以便对相关数据进行转存,并提出基于Apriori算法的关联实体区块溯源方法,将所得的溯源实体区块用于构造源事件关联图,进而描述事件实体间的关联关系;最后,提出基于强化学习的风险评价体系,实现对溯源实体的风险评估。实验结果表明,复合区块链关联事件溯源方法可降低60%的存储开销,查询准确率和安全性分别提升90%和50%。
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