Towards Tracing Bitcoin Client using Network Traffic Analysis
Wenshu Guo, Jie Zhang · 2019 IEEE International Conference on Signal, Information and Data Processing (ICSIDP) · 2019
The lack of supervision is an important reason that hinders the development of cryptocurrencies. In the case of Bitcoin, many lawless elements use Bitcoin for illegal transactions. With the decentralization and anonymity provided by Blockchain, it is difficult for finance institudes to identify them by traditional means of supervision. Based on the existing research on Bitcoin server tracing, this paper proposes an efficient Bitcoin client tracing mechanism to trace from Bitcoin server to the client through traffic analysis. Experiments are carried out and show that under the condition of general network connection, the tracing accuracy is close to no error.