Article
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BNS: A Detection System to Find Nodes in Bitcoin Network
Version 1
: Received: 22 November 2023 / Approved: 23 November 2023 / Online: 23 November 2023 (05:34:22 CET)
A peer-reviewed article of this Preprint also exists.
Li, R.; Zhu, L.; Li, C.; Wu, F.; Xu, D. BNS: A Detection System to Find Nodes in the Bitcoin Network. Mathematics 2023, 11, 4885. Li, R.; Zhu, L.; Li, C.; Wu, F.; Xu, D. BNS: A Detection System to Find Nodes in the Bitcoin Network. Mathematics 2023, 11, 4885.
Abstract
Bitcoin has been launched for over a decade and made an increasing impact on the world’s financial order, which attracted extensive attention of researchers. Bitcoin system runs on a dynamic P2P network, containing tens of thousands of nodes including reachable nodes and unreachable nodes. In this article, a detection system BNS (Bitcoin Network Sniffer) was prososed, which could collect as many Bitcoin nodes as possible. For reachable nodes, the authors designed an algorithm BRF (Bitcoin Reachable-nodes Finding) based on node activity evaluation, which reduced the nodes to be detected and greatly shortened the detection time. For unreachable nodes, the authors trained a dicision tree model BUF(Bitcoin Unreachable-nodes Finding) to identify unreachable nodes based on attribute features from massive node addresses. Experiments showed that BNS performed better than the website "Bitnodes" in total number and efficiency. Based on the experimental results, the authors analyzed the real network size, node "churn" and geographical distribution.
Keywords
bitcoin; reachable nodes; unreachable nodes; node activity; dicision tree model
Subject
Computer Science and Mathematics, Computer Networks and Communications
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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