Knowledge Discovery in Cryptocurrency Transactions : A Survey

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

3 Scopus Citations
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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)37229-37254
Journal / PublicationIEEE Access
Volume9
Online published26 Feb 2021
Publication statusPublished - 2021

Link(s)

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.

Research Area(s)

  • Bitcoin, complex network, cryptocurrency, data mining, Ethereum, transaction analysis

Citation Format(s)

Knowledge Discovery in Cryptocurrency Transactions : A Survey. / LIU, Xiao Fan; JIANG, Xin-Jian; LIU, Si-Hao; TSE, Chi Kong.

In: IEEE Access, Vol. 9, 2021, p. 37229-37254.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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