Identifying User Behavior Profiles in Ethereum Using Machine Learning Techniques

2021 IEEE International Conference on Blockchain (Blockchain)(2021)

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摘要
Ethereum is one of the largest blockchain platforms currently that has become a digital business environment for users. This platform is designed to allow decentralized transactions between anonymous users. Thus, the development of methods to identify user behavior profiles, keeping their identities anonymous, has the potential to leverage business on this platform. In this work, we investigate th...
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关键词
Analytical models,Conferences,Machine learning,Feature extraction,Data models,Blockchains,Business
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