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CPP:分片联盟链中的可验证溯源查询方法

信俊昌 崔婷钰 郝琨 徐浚铭 王之琼 黄敏

计算机工程与应用2025,Vol.61Issue(4):282-288,7.
计算机工程与应用2025,Vol.61Issue(4):282-288,7.DOI:10.3778/j.issn.1002-8331.2310-0421

CPP:分片联盟链中的可验证溯源查询方法

CPP:Verifiable Provenance Query in Sharding Consortium Blockchain

信俊昌 1崔婷钰 2郝琨 3徐浚铭 2王之琼 3黄敏4

作者信息

  • 1. 东北大学 计算机科学与工程学院,沈阳 110819||辽宁省大数据管理与分析重点实验室,沈阳 110819
  • 2. 东北大学 计算机科学与工程学院,沈阳 110819
  • 3. 东北大学 医学与生物信息工程学院,沈阳 110179
  • 4. 东北大学 信息科学与工程学院,沈阳 110819
  • 折叠

摘要

Abstract

With the development of sharding consortium blockchain technology,a large amount of intrinsically related data is scattered and stored in different shards,and the provenance query operation becomes complex.The existing research only supports the provenance query operation of a single shard,and direct cross-shard provenance will cause problems of high query latency and weak result verification,which will affect the user experience and the credibility of the results.In order to solve the above problems,a verifiable provenance query framework CPP in sharding consortium chain is pro-posed.In order to facilitate cross-shard provenance operations and improve query efficiency,a novel three-layer index structure SBP(sharding-block-proof index)is designed based on attributes.In order to prevent the results of index tampering from being untrustworthy,an index tamper-proof mechanism is designed.In order to prevent the untrustworthy results caused by malicious nodes tampering with or deleting some of the results,a verifiable provenance query algorithm that supports the dynamic aggregation of arbitrary dimensional attributes is designed,so that users can verify the completeness and correctness of the returned results.Finally,experiments are carried out on real public datasets to verify the efficiency and effectiveness of the proposed method.

关键词

分片联盟链/溯源/可验证查询

Key words

sharding consortium blockchain/provenance/verifiable query

分类

信息技术与安全科学

引用本文复制引用

信俊昌,崔婷钰,郝琨,徐浚铭,王之琼,黄敏..CPP:分片联盟链中的可验证溯源查询方法[J].计算机工程与应用,2025,61(4):282-288,7.

基金项目

国家重点研发计划(2021YFB3300900) (2021YFB3300900)

国家自然科学基金(62072089). (62072089)

计算机工程与应用

OA北大核心

1002-8331

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