[1]LI Meng,LIU Wenqi,MI Yunlong.An electronic evidence system based on blockchain and correlation analysis[J].CAAI Transactions on Intelligent Systems,2019,14(6):1127-1137.[doi:10.11992/tis.201905058]
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An electronic evidence system based on blockchain and correlation analysis

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 14 Number of periods: 2019 6 Page number: 1127-1137 Column: 学术论文—知识工程 Public date: 2019-11-05
Title:
An electronic evidence system based on blockchain and correlation analysis
Author(s):
LI Meng1; 2;  LIU Wenqi1; 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
Keywords:
public database; electronic evidence; blockchain; correlation analysis; intelligent serial and parallel
CLC:
TP391
DOI:
10.11992/tis.201905058
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.
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