PonziGuard: Detecting Ponzi Schemes on Ethereum with Contract Runtime Behavior Graph (CRBG)-Reference-Cited by-同舟云学术

PonziGuard: Detecting Ponzi Schemes on Ethereum with Contract Runtime Behavior Graph (CRBG)

Published:2024-02-06 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 46th IEEE/ACM International Conference on Software Engineering
language:
Short-container-title:

Author:

Liang Ruichao¹^ORCID,Chen Jing¹^ORCID,He Kun¹^ORCID,Wu Yueming²^ORCID,Deng Gelei²^ORCID,Du Ruiying¹^ORCID,Wu Cong²^ORCID

Affiliation:

1. Wuhan University, Wuhan, China

2. Nanyang Technological University, Singapore, Singapore

Funder

National Key Research and Development Program of China

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Key Research and Development Program of Hubei Province

Key Research and Development Program of Shandong Province

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3597503.3623318

Reference47 articles.

1. Alchemy. 2022. ethereum-statistics. Retrieved November 17, 2022 from https://www.alchemy.com/overviews/ethereum-statistics

2. Marc Artzrouni. 2009. The mathematics of Ponzi schemes. Mathematical Social Sciences 58 (2009).

3. Massimo Bartoletti, Salvatore Carta, Tiziana Cimoli, and Roberto Saia. 2020. Dissecting Ponzi schemes on Ethereum: Identification, analysis, and impact. Future Generation Computer Systems 102 (2020).

4. Giorgos Bouritsas, Fabrizio Frasca, Stefanos Zafeiriou, and Michael M Bronstein. 2022. Improving graph neural network expressivity via subgraph isomorphism counting. IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (2022).

5. Chainalysis. 2022. The Chainalysis 2022 Crypto Crime Report. Retrieved March 20, 2023 from https://go.chainalysis.com/2022-Crypto-Crime-Report.html