【Author】
Liu, Xiao Fan; Jiang, Xin-Jian; Liu, Si-Hao; Tse, Chi Kong
【Abstract】Cryptocurrencies gain trust in users by publicly disclosing the full creation and transaction history. In return, the transaction history faithfully records the whole spectrum of cryptocurrency user behaviors. This article analyzes and summarizes the existing research on knowledge discovery in the cryptocurrency transactions using data mining techniques. Specifically, we classify the existing research into three aspects, i.e., transaction tracings and blockchain address linking, the analyses of collective user behaviors, and the study of individual user behaviors. For each aspect, we present the problems, summarize the methodologies, and discuss major findings in the literature. Furthermore, an enumeration of transaction data parsing and visualization tools and services is also provided. Finally, we outline several gaps and trends for future investigation in this research area.
【Keywords】Cryptography; Blockchain; Elliptic curve cryptography; Bitcoin; Data models; Tools; Games; Bitcoin; complex network; cryptocurrency; data mining; Ethereum; transaction analysis
【摘要】加密货币通过公开完整的创建和交易历史来获得用户的信任。作为回报，交易历史会忠实地记录加密货币用户行为的整个范围。本文对利用数据挖掘技术在加密货币交易中发现知识的现有研究进行了分析和总结。具体来说，我们将现有的研究分为交易追踪和区块链地址链接、集体用户行为分析和个体用户行为研究三个方面。对于每个方面，我们提出问题，总结方法，并讨论主要发现在文献。此外，还提供了事务数据解析和可视化工具和服务的枚举。最后，我们概述了该研究领域的几个差距和未来的研究趋势。
【关键词】加密技术;区块链;椭圆曲线密码学;比特币;数据模型;工具;游戏;比特币;复杂网络;加密数字货币;数据挖掘;以太坊;交易分析
评论