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http://dx.doi.org/10.13089/JKIISC.2018.28.6.1319

Automated Classification of Unknown Smart Contracts of Ethereum Using Machine Learning  

Lee, Donggun (Information Security Lab., Graduation School of Information, Yonsei University)
Kwon, Taekyoung (Information Security Lab., Graduation School of Information, Yonsei University)
Publication Information
Journal of the Korea Institute of Information Security & Cryptology / v.28, no.6, 2018 , pp. 1319-1328 More about this Journal
Abstract
A blockchain system developed for crypto-currency has attractive characteristics, such as de-centralization, distributed ledger, and partial anonymity, making itself adopted in various fields. Among those characteristics, partial anonymity strongly assures privacy of users, but side effects such as abuse of crime are also appearing, and so countermeasures for circumventing such abuse have been studied continuously. In this paper, we propose a machine-learning based method for classifying smart contracts in Ethereum regarding their functions and design patterns and for identifying user behaviors according to them.
Keywords
Blockchain; Ethereum; Smart contract; De-anonymity; Forensics;
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