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.
In: IEEE International Conference on Networking, Sensing and Con- trol, 2004
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CR 1years
2019 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
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.