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Understanding Ethereum Transactions via Network Approach

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Graph Data Mining

Part of the book series: Big Data Management ((BIGDM))

Abstract

Ethereum, which is one of the largest public blockchain-based platforms, provides an unprecedented opportunity for data mining. However, the analysis of Ethereum transaction records remains under-explored. In this chapter, we model Ethereum transaction records as a complex network and further study the problem of phishing detection and transaction tracking via node classification and link prediction, respectively, which provides a deeper understanding of Ethereum transactions from a network perspective. Specifically, we introduce time-series snapshot network (TSSN) to model Ethereum transaction records as a spatial-temporal network and present temporal biased walk (TBW) to effectively embed accounts via their transaction records, which integrates temporal and structural information of the proposed network. Furthermore, we provide a detailed and systematic analysis of various graph embedding models and compare our proposed method with these embedding technologies on realistic Ethereum transaction records. Experimental results demonstrate the superiority of our TBW in learning more informative representations, and is essential for Ethereum network analysis.

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Notes

  1. 1.

    [f(u) ⋅ f(v)]i = f i(u) ∗ f i(v).

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Author information

Authors and Affiliations

  1. Institute of Cyberspace Security, Zhejiang University of Technology, Hangzhou, China

    Yunyi Xie, Jiajun Zhou, Jinhuan Wang, Jian Zhang & Qi Xuan

  2. College of Information Engineering, Zhejiang University of Technology, Hangzhou, China

    Yunyi Xie, Jiajun Zhou, Jinhuan Wang, Jian Zhang & Qi Xuan

  3. School of Computer Science, Faculty of Science and Engineering, University of Nottingham Ningbo China, Ningbo, China

    Yunxuan Sheng

  4. School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China

    Jiajing Wu

Authors
  1. Yunyi Xie
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  2. Jiajun Zhou
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  3. Jinhuan Wang
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  4. Jian Zhang
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  5. Yunxuan Sheng
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  6. Jiajing Wu
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  7. Qi Xuan
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Correspondence to Qi Xuan .

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Editors and Affiliations

  1. Institute of Cyberspace Security, Zhejiang University of Technology, Hangzhou, China

    Qi Xuan

  2. Institute of Cyberspace Security, Zhejiang University of Technology, Hangzhou, China

    Zhongyuan Ruan

  3. Institute of Cyberspace Security, Zhejiang University of Technology, Hangzhou, China

    Yong Min

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Xie, Y. et al. (2021). Understanding Ethereum Transactions via Network Approach. In: Xuan, Q., Ruan, Z., Min, Y. (eds) Graph Data Mining. Big Data Management. Springer, Singapore. https://doi.org/10.1007/978-981-16-2609-8_7

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  • DOI: https://doi.org/10.1007/978-981-16-2609-8_7

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  • Online ISBN: 978-981-16-2609-8

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