PonziGuard: Detecting Ponzi Schemes on Ethereum with Contract Runtime Behavior Graph (CRBG)
Abstract
Ponzi schemes, a form of scam, have been discovered in Ethereum smart contracts in recent years, causing massive financial losses. Rule-based detection approaches rely on pre-defined rules with limited capabilities and domain knowledge dependency. Additionally, using static information like opcodes and transactions for machine learning models fails to effectively characterize the Ponzi contracts, resulting in poor reliability and interpretability.
BibTeX
@inproceedings{Liang-al:ICSE24,
author = {Ruichao Liang and
Jing Chen and
Kun He and
Yueming Wu and
Gelei Deng and
Ruiying Du and
Cong Wu},
title = {{PonziGuard:} Detecting Ponzi Schemes on Ethereum with Contract Runtime Behavior Graph {(CRBG)}},
booktitle = {ICSE},
pages = {64:1--64:12},
publisher = {{ACM}},
year = {2024},
}