Exploring Unconfirmed Transactions for Effective Bitcoin Address Clustering
Published in Proceedings of the ACM Web Conference 2024 (WWW’24), 2024
Recommended citation: Wang, K., Cheng, Y., Tong, M. W., Niu, Z., Pang, J., & Han, W. (2024). "Exploring Unconfirmed Transactions for Effective Bitcoin Address Clustering." Proceedings of the ACM Web Conference 2024 (WWW’24). Singapore. 1880-1891. http://academicpages.github.io/files/www24_clustering.pdf
Bitcoin Address Clustering: This paper proposes a new method to improve clustering effectiveness using memory pool data:
- Modified Bitcoin node source code to collect and analyze unconfirmed transactions located in the Bitcoin memory pool.
- Designed two new clustering heuristics, advancing a critical issue in Bitcoin regulation: de-anonymization.
- Proposed a method for constructing a labeled dataset to verify clustering results. Experimental results show our method tripled the recall rate.
Recommended citation: Wang, K., Cheng, Y., Tong, M. W., Niu, Z., Pang, J., & Han, W. (2024). “Exploring Unconfirmed Transactions for Effective Bitcoin Address Clustering.” Proceedings of the ACM Web Conference 2024 (WWW’24). Singapore. 1880-1891.