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Review

Synergy of Blockchain Technology and Data Mining Techniques for Anomaly Detection

by
Aida Kamišalić
1,*,
Renata Kramberger
2 and
Iztok Fister, Jr.
1
1
Faculty of Electrical Engineering and Computer Science, University of Maribor, Koroška Cesta 46, 2000 Maribor, Slovenia
2
Department of Information Technology and Computing, Zagreb University of Applied Sciences, Vrbik 8, 10000 Zagreb, Croatia
*
Author to whom correspondence should be addressed.
Appl. Sci. 2021, 11(17), 7987; https://doi.org/10.3390/app11177987
Submission received: 27 July 2021 / Revised: 22 August 2021 / Accepted: 25 August 2021 / Published: 29 August 2021
(This article belongs to the Special Issue Data Mining and Blockchain)

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.
Keywords: anomaly detection; blockchain; distributed ledger; data mining; machine learning anomaly detection; blockchain; distributed ledger; data mining; machine learning

Share and Cite

MDPI and ACS Style

Kamišalić, A.; Kramberger, R.; Fister, I., Jr. Synergy of Blockchain Technology and Data Mining Techniques for Anomaly Detection. Appl. Sci. 2021, 11, 7987. https://doi.org/10.3390/app11177987

AMA Style

Kamišalić A, Kramberger R, Fister I Jr. Synergy of Blockchain Technology and Data Mining Techniques for Anomaly Detection. Applied Sciences. 2021; 11(17):7987. https://doi.org/10.3390/app11177987

Chicago/Turabian Style

Kamišalić, Aida, Renata Kramberger, and Iztok Fister, Jr. 2021. "Synergy of Blockchain Technology and Data Mining Techniques for Anomaly Detection" Applied Sciences 11, no. 17: 7987. https://doi.org/10.3390/app11177987

APA Style

Kamišalić, A., Kramberger, R., & Fister, I., Jr. (2021). Synergy of Blockchain Technology and Data Mining Techniques for Anomaly Detection. Applied Sciences, 11(17), 7987. https://doi.org/10.3390/app11177987

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