Identifying illicit transactions in Bitcoin Tumbler services using Supervised Machine Learning Algorithms-Reference-Cited by-同舟云学术

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Identifying illicit transactions in Bitcoin Tumbler services using Supervised Machine Learning Algorithms

Published:2023-08-17 Issue: Volume: Page:
ISSN:
Container-title:2023 12th International Conference on Advanced Computing (ICoAC)
language:
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Author:

S Ezhilmathi¹,S Selvakumara Samy²

Affiliation:

1. SRM Institute of Science and Technology,School of Computing,Department of Computer Science and Engineering,Kattankulathur,Tamilnadu,603203

2. SRM Institute of Science and Technology,School of Computing,Department of Computational Intelligence,Kattankulathur,Tamilnadu,603203

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10249210/10249011/10249782.pdf?arnumber=10249782

Reference34 articles.

1. The Other Side of the Coin: User Experiences with Bitcoin Security and Privacy

2. What motivates people to use Bitcoin?;masooda;Proc Soc Informat 8th Int Conf (SocInfo),2016

3. Improving Cryptocurrency Crime Detection: CoinJoin Community Detection Approach

4. Bitcoin: A peer-to-peer electronic cash system;nakamoto;Bitcoin,2008

5. 8 BEST Anonymous Bitcoin Wallets;thompson;guru99,2022

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. JoinDetect: A Data-Led Machine Learning Approach to Detection of Coinjoin Transactions;Proceedings of the 2024 International Conference on Information Technology for Social Good;2024-09-04

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