Supervised learning model for identifying illegal activities in Bitcoin
Author:
Funder
Indo-French Centre for the Promotion of Advanced Research
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-020-02048-w.pdf
Reference55 articles.
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2. Akcora CG, Li Y, Gel YR, Kantarcioglu M (2019) Bitcoinheist: Topological data analysis for ransomware detection on the bitcoin blockchain. 1906.07852
3. Alqassem I, Rahwan I, Svetinovic D (2018) The anti-social system properties: Bitcoin network data analysis. IEEE Trans Syst Man Cybern Syst
4. Bartoletti M, Pes B, Serusi S (2018) Data mining for detecting bitcoin ponzi schemes. In: 2018 Crypto Valley Conference on Blockchain Technology (CVCBT), pp 75–84
5. Bistarelli S, Mercanti I, Santini F (2018) A suite of tools for the forensic analysis of bitcoin transactions: Preliminary report. In: European conference on parallel processing, Springer, pp 329–341
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