| Title | A Traceability Method for Bitcoin Transactions Based on Gateway Network Traffic Analysis |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Huang, Dapeng, Chen, Haoran, Wang, Kai, Chen, Chen, Han, Weili |
| Conference Name | 2022 International Conference on Networking and Network Applications (NaNA) |
| Date Published | dec |
| Keywords | bitcoin, bitcoin security, Bitcoin transactions, Distributed databases, Government, Human Behavior, human factors, Logic gates, pubcrawl, Scalability, telecommunication traffic, Traceability Method, Traffic analysis, Virtual private networks, Weapons |
| Abstract | Cryptocurrencies like Bitcoin have become a popular weapon for illegal activities. They have the characteristics of decentralization and anonymity, which can effectively avoid the supervision of government departments. How to de-anonymize Bitcoin transactions is a crucial issue for regulatory and judicial investigation departments to supervise and combat crimes involving Bitcoin effectively. This paper aims to de-anonymize Bitcoin transactions and present a Bitcoin transaction traceability method based on Bitcoin network traffic analysis. According to the characteristics of the physical network that the Bitcoin network relies on, the Bitcoin network traffic is obtained at the physical convergence point of the local Bitcoin network. By analyzing the collected network traffic data, we realize the traceability of the input address of Bitcoin transactions and test the scheme in the distributed Bitcoin network environment. The experimental results show that this traceability mechanism is suitable for nodes connected to the Bitcoin network (except for VPN, Tor, etc.), and can obtain 47.5% recall rate and 70.4% precision rate, which are promising in practice. |
| DOI | 10.1109/NaNA56854.2022.00037 |
| Citation Key | huang_traceability_2022 |
A Traceability Method for Bitcoin Transactions Based on Gateway Network Traffic Analysis