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Analyzing the Error Rates of Bitcoin Clustering Heuristics

  • Published:2022 Issue: Volume: Page:187-205
  • ISSN:1868-4238
  • Container-title:IFIP Advances in Information and Communication Technology
  • language:
  • Short-container-title:

Author:

Gong Yanan,Chow Kam-Pui,Ting Hing-Fung,Yiu Siu-Ming

Publisher

Springer International Publishing

Reference31 articles.

1. L. Alsahan, N. Lasla and M. Abdallah, Local Bitcoin network simulator for performance evaluation using lightweight virtualization, Proceedings of the IEEE International Conference on Informatics, IoT and Enabling Technologies, pp. 355–360, 2020.

2. A. Antonopoulos, Mastering Bitcoin: Unlocking Digital Cryptocurrencies, O’Reilly Media, Sebastopol, California, 2014.

3. J. Banks, J. Carson, B. Nelson and D. Nicol, Discrete-Event System Simulation, Prentice Hall, Upper Saddle River, New Jersey, 2010.

4. S. Bistarelli, I. Mercanti and F. Santini, An analysis of non-standard transactions, Frontiers in Blockchain, vol. 2, article no. 7, 2019.

5. Blockchain.com, Bitcoin BTC USD39,431.96, Miami, Florida (www.blockchain.com/prices/BTC), April 25, 2022.

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1. Exploring Unconfirmed Transactions for Effective Bitcoin Address Clustering;Proceedings of the ACM Web Conference 2024;2024-05-13

2. The next phase of identifying illicit activity in Bitcoin;International Journal of Network Management;2024-01-15

3. FraudLens: Graph Structural Learning for Bitcoin Illicit Activity Identification;Annual Computer Security Applications Conference;2023-12-04

4. The current state of cryptocurrency forensics;Forensic Science International: Digital Investigation;2023-09

5. SoK: The Next Phase of Identifying Illicit Activity in Bitcoin;2023 IEEE International Conference on Blockchain and Cryptocurrency (ICBC);2023-05-01
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