A High-Accuracy Dynamic Topology Inference Method Using Active Probing in the Ethereum Network 


Vol. 47,  No. 3, pp. 453-460, Mar.  2022
10.7840/kics.2022.47.3.453


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  Abstract

Security issues such as DDoS problems, 51% attacks, and Civil attacks in blockchain networks, duplicate messages, and research to increase network performance through influential peer selection should be based on analysis of dynamically changing nodes in the network. Bitcoin networks analyze topologies using Double Spending transactions, AddressProbe, and NodeProve, but no research has been conducted on dynamically changing topologies in the Ethereum network. In this paper, an active probing method for searching for nodes participating in a network at a specific time using the passive probing method is presented. We identified 131,776 nodes found through passive probing and 13,261 nodes participating in the Ethereum network for a specific time using the connectivity of 8,643,225. For dynamic topology analysis, the average degree, average path length, diameter, average clustering coefficient, and Betweenness centrality were analyzed and the topology was visualized. The results of this paper can be applied to studies that track the propagation path of transactions and blocks in the Ethereum network. In addition, it can be used as basic data for research on improving network performance and removing duplicate messages through influential peer selection.

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  Cite this article

[IEEE Style]

S. Maeng and H. Ju, "A High-Accuracy Dynamic Topology Inference Method Using Active Probing in the Ethereum Network," The Journal of Korean Institute of Communications and Information Sciences, vol. 47, no. 3, pp. 453-460, 2022. DOI: 10.7840/kics.2022.47.3.453.

[ACM Style]

Soohoon Maeng and Hongtaek Ju. 2022. A High-Accuracy Dynamic Topology Inference Method Using Active Probing in the Ethereum Network. The Journal of Korean Institute of Communications and Information Sciences, 47, 3, (2022), 453-460. DOI: 10.7840/kics.2022.47.3.453.

[KICS Style]

Soohoon Maeng and Hongtaek Ju, "A High-Accuracy Dynamic Topology Inference Method Using Active Probing in the Ethereum Network," The Journal of Korean Institute of Communications and Information Sciences, vol. 47, no. 3, pp. 453-460, 3. 2022. (https://doi.org/10.7840/kics.2022.47.3.453)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880