UTXOAnalysis:基于UTXO的加密货币的分布式图存储和分析系统

IF 4 3区 计算机科学 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE Computers & Electrical Engineering Pub Date : 2024-10-12 DOI:10.1016/j.compeleceng.2024.109760
Ruibin Yan, Zeyu Zhang , Dechun Yin, Zhihao Li, Yuan Gao, Yijun Gu
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引用次数: 0

摘要

加密货币的关系分析对于理解和规范其具有图结构的生态系统至关重要。特别是,早期开发的基于 UTXO 的加密货币的关系形成了具有更综合、更大型图结构的生态系统。如何高效地存储这样的大型图以及如何高效地查询和分析这些图是一个挑战。在本文中,我们提出了UTXOAnalysis 来解决这些问题。UTXOAnalysis是一个具有三层结构的分布式图存储和分析系统。在数据收集框架中,UTXOAnalysis 采用批量查询和块剪枝技术。在解析和存储框架中,UTXOAnalysis 采用多图解析和存储的并行方法。UTXOAnalysis还为增量数据提供了这些方法。在分析框架中,UTXOAnalysis 提供了地址关系分析、交易关系分析和加密货币流追踪这三种基本分析方法。在实验中,我们收集了比特币和 Zcash 的数据,以展示数据收集、解析、存储和基本分析的效率。与基线方法相比,UTXOAnalysis 在存储和分析基于 UTXO 的加密货币方面效率更高。
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UTXOAnalysis: A distributed graph storage and analysis system for UTXO-based cryptocurrencies
Relationship analysis of cryptocurrencies is crucial for understanding and regulating their ecosystems with graph structures. In particular, the relationships of the UTXO-based cryptocurrencies, which were developed earlier, form ecosystems with more integrated and larger graph structures. It is a challenge to efficiently store such large graphs and to efficiently query and analyze these graphs. In this paper, we propose UTXOAnalysis to solve these problems. UTXOAnalysis is a distributed graph storage and analysis system with a three-level structure. In the data collection framework, UTXOAnalysis adopts batch queries and block pruning. In the parsing and storage framework, UTXOAnalysis utilizes the parallel approaches of multi-graph parsing and storage. UTXOAnalysis also provides these methods for incremental data. In the analysis framework, UTXOAnalysis supplies address relationship analysis, transaction relationship analysis, and cryptocurrency flow tracing, which are the three basic analysis methods. In our experiments, we collected data from Bitcoin and Zcash to demonstrate the efficiency of data collection, parsing, storage, and basic analysis. UTXOAnalysis is more efficient in storing and analyzing UTXO-based cryptocurrencies than the baseline methods.
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来源期刊
Computers & Electrical Engineering
Computers & Electrical Engineering 工程技术-工程:电子与电气
CiteScore
9.20
自引率
7.00%
发文量
661
审稿时长
47 days
期刊介绍: The impact of computers has nowhere been more revolutionary than in electrical engineering. The design, analysis, and operation of electrical and electronic systems are now dominated by computers, a transformation that has been motivated by the natural ease of interface between computers and electrical systems, and the promise of spectacular improvements in speed and efficiency. Published since 1973, Computers & Electrical Engineering provides rapid publication of topical research into the integration of computer technology and computational techniques with electrical and electronic systems. The journal publishes papers featuring novel implementations of computers and computational techniques in areas like signal and image processing, high-performance computing, parallel processing, and communications. Special attention will be paid to papers describing innovative architectures, algorithms, and software tools.
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