基于区块链的公共数据电子证据系统及关联性分析

PDF下载HTML

Title:

An electronic evidence system based on blockchain and correlation analysis

作者:

李萌^1,2, 刘文奇^1,2, 米允龙³

1. 昆明理工大学 理学院, 云南 昆明 650500;
2. 昆明理工大学 数据科学研究中心, 云南 昆明 650500;
3. 中国科学院 大数据挖掘与知识管理重点实验室, 北京 100190

Author(s):

LI Meng^1,2, LIU Wenqi^1,2, MI Yunlong³

1. Faculty of Science, Kunming University of Science and Technology, Kunming 650500, China;
2. Center of Data Science, Kunming University of Science and Technology, Kunming 650500, China;
3. Key Laboratory of Big Data Mining and Knowledge Management, Chinese Academy of Sciences, Beijing 100190, China

关键词:

公共数据库; 电子证据; 区块链; 关联分析; 智能串并

Keywords:

public database; electronic evidence; blockchain; correlation analysis; intelligent serial and parallel

分类号:

TP391

DOI:

10.11992/tis.201905058

摘要:

针对公共部门提供电子证据时，必须保证数据的真实性和证明力，同时要尽量保护当事人隐私和他人利益，而从公共数据库中提取电子数据并形成有效电子证据，既是法律难题也是技术难题这一问题，本文在电子证据可信性的影响因素分析基础上，提出了自动生成中国公共数据库电子证据系统的区块链模型的取证技术体系，并从司法角度出发，提出了公共数据治理的电子证据生命周期、内容关联、载体关联和智能串并分析方法。本文的研究在一定程度上保证了司法、公证和公共事务中电子证据的可信性，并实现了从公共数据库中自动生成证据知识的原型系统。

Abstract:

When the public sector provides electronic evidence, the authenticity and proof of the data must be ensured, and meanwhile, the privacy of the concerned parties and the interests of others should be protected as much as possible. Therefore, forming effective electronic evidence by extracting electronic data from public databases is not only a legal problem but also a technical problem. Based on the analysis of the influencing factors of the credibility of the electronic evidence, the automatic blockchain model of an electronic data system based on the Chinese public database is proposed in this paper. In addition, the methods of life-cycle management, content association, carrier association, and intelligent string-concatenation for electronic evidence based on public data are put forward from the legal viewpoint. To a certain extent, this research guarantees the credibility of electronic evidence in judicial, notary, and public affairs, and implements a prototype system for automatically generating evidence knowledge from public databases.