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Bitcoin Node Discovery: Large-Scale Empirical Evaluation of Network Churn

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Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 11635))

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Abstract

Bitcoin was founded by Nakamoto Satoshi on January 3, 2009, based on a borderless peer-to-peer network, founded with consensus initiative open source software. There are many nodes in the Bitcoin network. By discovering and analyzing these nodes, we can summarize some of the characteristics of Bitcoin and blockchain networks. In this paper, the following work was completed: (1) Explain the communication process and related protocols of Bitcoin nodes. (2) Large-scale discovery of bitcoin nodes. (3) Analyze and summarize the dynamic of the nodes.

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Acknowledgement

This work is supported by the National Natural Science Foundation of China under Grant NO. 61572153, NO. 61702220, and NO. 61702223, China Grants U1636215, and the National Key research and Development Plan (Grant NO. 2018YFB0803504).

Author information

Authors and Affiliations

  1. Guangzhou University, Guangzhou, China

    Yu Zhang, Runan Tan, Xiangyi Kong, Qingfeng Tan & Xiangtao Liu

  2. Cyberspace Institute of Advanced Technology, Guangzhou University, Guanghzhou, China

    Qingfeng Tan & Xiangtao Liu

Authors
  1. Yu Zhang
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  2. Runan Tan
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  3. Xiangyi Kong
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  4. Qingfeng Tan
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  5. Xiangtao Liu
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Corresponding author

Correspondence to Xiangtao Liu .

Editor information

Editors and Affiliations

  1. Nanjing University of Information Science and Technology, Nanjing, China

    Xingming Sun

  2. Nanjing University of Information Science and Technology, Nanjing, China

    Zhaoqing Pan

  3. Purdue University, West Lafayette, IN, USA

    Elisa Bertino

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Zhang, Y., Tan, R., Kong, X., Tan, Q., Liu, X. (2019). Bitcoin Node Discovery: Large-Scale Empirical Evaluation of Network Churn. In: Sun, X., Pan, Z., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2019. Lecture Notes in Computer Science(), vol 11635. Springer, Cham. https://doi.org/10.1007/978-3-030-24268-8_36

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  • DOI: https://doi.org/10.1007/978-3-030-24268-8_36

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-24267-1

  • Online ISBN: 978-3-030-24268-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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