Data traceability mechanism based on consortium chain

Shoucai ZHAO; Lifeng CAO; Xuehui DU

doi:10.11959/j.issn.2096-109x.2023067

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Data traceability mechanism based on consortium chain

Papers | 更新时间：2024-06-03

- Data traceability mechanism based on consortium chain
- Chinese Journal of Network and Information Security Vol. 9, Issue 5, Pages: 92-105(2023)
- 作者机构：
- 作者简介：
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- DOI：10.11959/j.issn.2096-109x.2023067
  CLC： TP391
- Online First：2023-10，
  
  Published：25 October 2023
- 稿件说明：
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Shoucai ZHAO, Lifeng CAO, Xuehui DU. Data traceability mechanism based on consortium chain[J]. Chinese Journal of Network and Information Security, 2023, 9(5): 92-105.
DOI：

Shoucai ZHAO, Lifeng CAO, Xuehui DU. Data traceability mechanism based on consortium chain[J]. Chinese Journal of Network and Information Security, 2023, 9(5): 92-105. DOI： 10.11959/j.issn.2096-109x.2023067.

摘要

随着大数据时代的到来，数据的产生和流转速度获得空前增长。区块链技术的出现为数据的真实性验证提供了新的解决思路。随着区块链技术的发展，不同区块链间数据流转需求逐渐增加，而不同区块链间数据流转又带来了新的安全性问题，如跨链数据传递易泄露、非法访问造成数据泄露不易发现等。针对上述问题，提出一种基于联盟链的数据溯源机制。设计了跨区块链的数据溯源模型，引入私有数据管道来实现跨链数据传递的安全性，通过授权与访问日志实现对用户行为的记录，保证非法越权访问的可追溯性。为提高数据溯源查询效率，采用链上链下同步存储机制，将每次交易前的数据流转状态经加密存储至数据库，并将其索引存储在区块链交易中，从而实现链上链下数据的一一对应，同时在区块体中引入 Merkel 山脉存储区块摘要，提高区块合法性检验效率。根据数据存储形式及跨链数据交互机制，设计了数据溯源算法，并将溯源结果以有序树的形式展示。针对电商行业的跨域数据溯源场景，基于Fabric搭建了联盟链溯源实验环境，并采用Go语言模拟测试了区块数量较大、交易数量较多情况下的数据溯源性能。结果显示，随着区块高度及数据流转次数增加，数据验证及溯源效率具有显著优势。

Abstract

With the unprecedented growth in the speed of data generation and circulation in the era of big data

the emergence of blockchain technology provides a new solution for data authenticity verification.However

with the increasing demand for data flow between different blockchains

new security issues arise.Cross-chain data transmission can lead to data leakage

and detecting data leakage caused by illegal access becomes challenging.To address these problems

a data traceability mechanism based on a consortium chain was proposed.A cross-blockchain data traceability model was designed

incorporating private data pipelines to ensure the security of cross-chain data transmission.User behaviors were recorded through authorization and access logs

ensuring the traceability of illegal unauthorized access.To improve the efficiency of data traceability and query

an on-chain and off-chain synchronous storage mechanism was adopted.The state of data flow before each transaction was encrypted and stored in the database

and its index was stored in the blockchain transaction.This enables a one-to-one correspondence between on-chain and off-chain data.Additionally

Merkle trees were introduced into the block body to store block summaries

enhancing the efficiency of block legitimacy verification.Based on the data storage form and cross-chain data interaction mechanism

a data traceability algorithm was designed.The traceability results were displayed in the form of an ordered tree.An experimental environment for consortium chain traceability was built using fabric

targeting the cross-domain data traceability scenario in the e-commerce industry.The GO language was used to simulate and test the data traceability performance with a large number of blocks and transactions.The results demonstrate that with the increasing number of blocks and transactions

the proposed data traceability mechanism maintains satisfactory performance.

关键词

Keywords

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