Supervised classifiers trained on 13 Ethereum transaction aggregates detect some fraud-labeled accounts at very low false positive rates, but high-recall configurations have impractical false alarm rates.
International Journal of Computer Applications 156(10) (2016)
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Detecting Fraudulent Accounts on Blockchain: A Supervised Approach
Supervised classifiers trained on 13 Ethereum transaction aggregates detect some fraud-labeled accounts at very low false positive rates, but high-recall configurations have impractical false alarm rates.