tse_sadponzi

SADPonzi: Detecting and Characterizing Ponzi Schemes inEthereum Smart Contracts

SADPonzi is a detection for Ponzi scheme smart contracts (ponzitract) base on symbolic execution technology. We implement it atop teEther:

Ground Truth Benchmark

We filter the dataset used in https://github.com/blockchain-unica/ethereum-ponzi and get 133 ground truth ponzitracts (see our paper for details). At the meantimes, we collect 1262 DApp as non-Ponzi cases from dapptotal.com. (see link)

Robustness Benchark

We generate four groups of data for the robustness experiment. (see link)

Large Scale Dataset

We apply SADPonzi to all the 3.4 million smart contracts deployed by EOAs in Ethereum and identify 835 Ponzi scheme smart contracts in total, with a volume of over 17 million US Dollar invested from victims. (see link)

Academia

Our paper SADPonzi: Detecting and Characterizing Ponzi Schemes in Ethereum Smart Contracts was published at the ACM Sigmetrics' 21.

@article{10.1145/3460093,
author = {Chen, Weimin and Li, Xinran and Sui, Yuting and He, Ningyu and Wang, Haoyu and Wu, Lei and Luo, Xiapu},
title = {SADPonzi: Detecting and Characterizing Ponzi Schemes in Ethereum Smart Contracts},
year = {2021},
issue_date = {June 2021},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
volume = {5},
number = {2},
url = {https://doi.org/10.1145/3460093},
doi = {10.1145/3460093},
journal = {Proc. ACM Meas. Anal. Comput. Syst.},
month = jun,
articleno = {26},
numpages = {30},
keywords = {symbolic execution, smart contract, ethereum, Ponzi scheme}
}

Kenun99 / SADPonzi