mlsanityData to 7 Oct 2026

Dissecting Ponzi schemes on Ethereum: identification, analysis, and impact

arXiv 1703.03779 ↗First posted 10 Mar 2017cs.CRcited by 19

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Abstract (arXiv)

Ponzi schemes are financial frauds which lure users under the promise of high profits. Actually, users are repaid only with the investments of new users joining the scheme: consequently, a Ponzi scheme implodes soon after users stop joining it. Originated in the offline world 150 years ago, Ponzi schemes have since then migrated to the digital world, approaching first the Web, and more recently hanging over cryptocurrencies like Bitcoin. Smart contract platforms like Ethereum have provided a new opportunity for scammers, who have now the possibility of creating "trustworthy" frauds that still make users lose money, but at least are guaranteed to execute "correctly". We present a comprehensive survey of Ponzi schemes on Ethereum, analysing their behaviour and their impact from various viewpoints.

Key facts. Cited by 19 papers in the map (data through 7 Oct 2026). First posted on arXiv 10 Mar 2017.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 4; 2022: 4; 2023: 3; 2024: 2; 2025: 4; 2026: 2.

19 papers.

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  1. 2021Self-supervised Incremental Deep Graph Learning for Ethereum Phishing Scam Detectioncited by 5
  2. 2022Detecting Anomalous Cryptocurrency Transactions: an AML/CFT Application of Machine Learning-based Forensicscited by 5
  3. 2021Blockchain Phishing Scam Detection via Multi-channel Graph Classificationcited by 4
  4. 2022Time-aware Metapath Feature Augmentation for Ponzi Detection in Ethereumcited by 4
  5. 2022Do not rug on me: Zero-dimensional Scam Detectioncited by 3
  6. 2025Giving AI Agents Access to Cryptocurrency and Smart Contracts Creates New Vectors of AI Harmcited by 3
  7. 2023Explainable Ponzi Schemes Detection on Ethereumcited by 2
  8. 2024Machine Learning for Blockchain Data Analysis: Progress and Opportunitiescited by 2
  9. 2025SolRPDS: A Dataset for Analyzing Rug Pulls in Solana Decentralized Financecited by 2
  10. 2021Data-driven Smart Ponzi Scheme Detectioncited by 1
  11. 2023SourceP: Detecting Ponzi Schemes on Ethereum with Source Codecited by 1
  12. 2024Enhancing Ethereum Fraud Detection via Generative and Contrastive Self-supervisioncited by 1
7 more
  1. 2026Early Rug Pull Warning for BSC Meme Tokens via Multi-Granularity Wash-Trading Pattern Profilingcited by 1
  2. 2021Detecting DeFi Securities Violations from Token Smart Contract Codecited by 0
  3. 2022Anomaly Detection for Fraud in Cryptocurrency Time Seriescited by 0
  4. 2023Improving the Accuracy of Transaction-Based Ponzi Detection on Ethereumcited by 0
  5. 2025Linking Cryptoasset Attribution Tags to Knowledge Graph Entities: An LLM-based Approachcited by 0
  6. 2025CASPER: Contrastive Approach for Smart Ponzi Scheme Detecter with More Negative Samplescited by 0
  7. 2026Paper Agents, Paper Gains: An Empirical Analysis of DeFi Investment Agentscited by 0