Multi-scale network analysis for fraud detection in NFT markets
Presciutti, Elisa (A.A. 2024/2025) Multi-scale network analysis for fraud detection in NFT markets. Tesi di Laurea in Cybercrime and fraud detection, Luiss Guido Carli, relatore Gianluigi Me, pp. 54. [Bachelor's Degree Thesis]
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Abstract/Index
Growth of the NFT market and emerging risks. Structure and manipulation risks of NFT markets. Technical and structural evolution of NFT Markets as enablers of manipulative behavior. Structural vulnerabilities and regulatory gaps. Theoretical taxonomy of NFT fraud. Analytical foundations for NFT forensics. Blockchain forensics. Graph-based analysis. Cybersecurity and AML. Operational taxonomy for NFT fraud detection. Multi-scale framework for NFT fraud detection. Methodology and framework implementation. Dataset and data pipeline. Single-NFT baseline. Graph algorithms. Pattern detection modules. Expanded network analysis. Network expansion methodology. Expanded network characteristics. Graph algorithm results. Fraud pattern detection. Visualization and macro-level interpretation.
References
Bibliografia: pp. 49-54.
| Thesis Type: | Bachelor's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Bachelor's Degree Programs > Bachelor's Degree Program in Management and Computer Science, English language (L-18) |
| Chair: | Cybercrime and fraud detection |
| Thesis Supervisor: | Me, Gianluigi |
| Academic Year: | 2024/2025 |
| Session: | Autumn |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 17 Apr 2026 16:14 |
| Last Modified: | 17 Apr 2026 16:14 |
| URI: | https://tesi.luiss.it/id/eprint/45471 |
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