Knowledge Discovery in Cryptocurrency Transactions: A Survey

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 c...

Full description

Saved in:
Bibliographic Details
Published inIEEE access Vol. 9; pp. 37229 - 37254
Main Authors Liu, Xiao Fan, Jiang, Xin-Jian, Liu, Si-Hao, Tse, Chi Kong
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Bitcoin
Blockchain
complex network
cryptocurrency
Cryptography
Data mining
Data models
Digital currencies
Elliptic curve cryptography
Enumeration
Ethereum
Games
Knowledge discovery
transaction analysis
User behavior
Online AccessGet full text

Cover

More Information
Summary: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.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2021.3062652