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Ethereum Behavior Analysis with NetFlow Data | IEEE Conference Publication | IEEE Xplore

Ethereum Behavior Analysis with NetFlow Data


Abstract:

Ethereum is a blockchain platform that can run smart contracts and implement decentralized applications over a peer-to-peer(P2P) network. As the second-largest cryptocurr...Show More

Abstract:

Ethereum is a blockchain platform that can run smart contracts and implement decentralized applications over a peer-to-peer(P2P) network. As the second-largest cryptocurrency in the world, Ethereum has attracted a lot of attention from industry and academia. Researches on Ethereum and other blockchain platforms focus on application, smart contracts, and P2P networks. Most of works use the data collected by active crawling, and rarely obtained data from the passive monitoring perspective, especially in the blockchain P2P network analysis. In this work, we propose a passive method using traffic association and machine learning to conduct online Ethereum node detection in NetFlow data, and monitor the Ethereum nodes in NetFlow traffic to gather nodes connection dataset. Based on the dataset, multi-dimensional measurement and analysis is made in order to reveal the true performance of Ethereum network.
Date of Conference: 18-20 September 2019
Date Added to IEEE Xplore: 07 November 2019
ISBN Information:
Print on Demand(PoD) ISSN: 2576-8565
Conference Location: Matsue, Japan

References

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