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A Bitcoin Transaction Analyzing and Tracking Mechanism in Specified Network Zone

Abstracts


Cryptocurrencies, such as Bitcoin, have emerged as a popular means for illicit activities due to their decentralized and anonymous nature, allowing them to circumvent governmental oversight effectively. To combat crimes associated with Bitcoin, it is crucial to address the issue of deanonymizing Bitcoin transactions. Accordingly, this paper presents a novel methodology for Bitcoin transaction traceability, based on Bitcoin network traffic analysis. Specifically, we analyze network traffic data obtained at the physical convergence point of the local Bitcoin network to trace the input address of Bitcoin transactions. The proposed scheme is tested in a distributed Bitcoin network environment, yielding a promising recall rate of 45% and precision rate of 66.67%, with the exception of nodes linked through VPN, Tor, and similar tools. This traceability mechanism holds significant practical implications for regulatory and judicial investigation departments.

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