Synergy of blockchain technology and data mining techniques for anomaly detection

40Citations
Citations of this article
142Readers
Mendeley users who have this article in their library.

Abstract

Blockchain and Data Mining are not simply buzzwords, but rather concepts that are playing an important role in the modern Information Technology (IT) revolution. Blockchain has recently been popularized by the rise of cryptocurrencies, while data mining has already been present in IT for many decades. Data stored in a blockchain can also be considered to be big data, whereas data mining methods can be applied to extract knowledge hidden in the blockchain. In a nutshell, this paper presents the interplay of these two research areas. In this paper, we surveyed approaches for the data mining of blockchain data, yet show several real-world applications. Special attention was paid to anomaly detection and fraud detection, which were identified as the most prolific applications of applying data mining methods on blockchain data. The paper concludes with challenges for future investigations of this research area.

Cite

CITATION STYLE

APA

Kamišalić, A., Kramberger, R., & Fister, I. (2021, September 1). Synergy of blockchain technology and data mining techniques for anomaly detection. Applied Sciences (Switzerland). MDPI. https://doi.org/10.3390/app11177987

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free