A review of cryptocurrency data mining and fraud detection

Abstract

With the development of blockchain technology and the emergence of various cryptocurrencies, security issues related to blockchain and cryptocurrencies have become increasingly prevalent and have received widespread attention in recent years. To facilitate future research, this paper provides a bottom-up summary of methodologies at various levels, including data collection, data mining, anomaly detection and analysis. We aim to clarify the relationships between these levels and provide a technical guideline for researchers. Moreover, we conduct a fine-grained classification of data mining methods and anomaly detection and analysis techniques to highlight their differences and reflect the existing research gaps and future challenges.