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SNF-Blockchain-Anomaly-Fraud

SNF Scientific Exchange: Anomaly and Fraud Detection in Blockchain Networks - Academic Project Website

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Language HTML
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Created 2026-01-22
Last Updated 2026-03-25
Last Push 2026-01-24
Contributors 1
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Datasets

This repository includes 6 dataset(s):

Dataset Format Size

| data | | 0.0 KB |

| datasets.json | .json | 0.33 KB |

| orcid_search_results.json | .json | 8.6 KB |

| publications.json | .json | 4.06 KB |

| team.json | .json | 5.07 KB |

| zenodo_search_results.json | .json | 114.5 KB |

Reproducibility

No specific reproducibility files found.

Status

  • Issues: Enabled
  • Wiki: Enabled
  • Pages: Enabled

README

SNF Scientific Exchange: Anomaly and Fraud Detection in Blockchain Networks

GitHub Pages SNF License: CC BY 4.0

Overview

This repository hosts the academic project website for the Swiss National Science Foundation (SNF) Scientific Exchanges project on Anomaly and Fraud Detection in Blockchain Networks.

Live Website: https://digital-ai-finance.github.io/SNF-Blockchain-Anomaly-Fraud/

Project Details

Field Value
Grant Number IZSEZ0_211195
Funder Swiss National Science Foundation (SNF)
Programme Scientific Exchanges
Partners BFH (Switzerland) + American University of Sharjah (UAE)
Duration 2023-2025

Research Focus

This project studies anomaly and fraud detection in blockchain-based networks through:

  • Static Detection: Hybrid K-means clustering combined with Generalized Extreme Value (GEV) distribution
  • Dynamic Detection: Streaming data analysis using Generalized Pareto Distribution (GPD) and extreme value theory
  • Network Analysis: Comprehensive analysis of blockchain network graphs (Bitcoin, Ethereum)

Team

Principal Investigators

  • Prof. Dr. Joerg Osterrieder - BFH / University of Twente
  • Prof. Dr. Stephen Chan - American University of Sharjah

Team Members

  • Dr. Yuanyuan Zhang (University of Manchester)
  • Dr. Jeffrey Chu (Renmin University of China)
  • Dr. Branka Hadji Misheva (BFH)
  • Prof. Dr. Codruta Mare (Babes-Bolyai University)
  • Yiting Liu (BFH / University of Twente)
  • Lennart John Baals (BFH / University of Twente)
  • Gabin Taibi (BFH / University of Twente)

Repository Structure

SNF-Blockchain-Anomaly-Fraud/
├── index.html           # Main website (single-file)
├── data/
│   ├── publications.json    # Publication metadata
│   └── team.json           # Team information
├── assets/              # Logos and images
└── README.md            # This file

Key Publications

  1. Osterrieder, J., Chan, S., Zhang, Y., & Chu, J. (2024). Metaverse non-fungible tokens. Financial Innovation. (Under review)

  2. Osterrieder, J., Chan, S., Chu, J., Zhang, Y., Hadji Misheva, B., & Mare, C. (2024). Enhancing security in blockchain networks. Financial Innovation. (Under review)

  3. Chu, J., Chan, S., & Osterrieder, J. (2017). GARCH modelling of cryptocurrencies. Journal of Risk and Financial Management, 10(4), 17. [340+ citations]

  4. Chan, S., Chu, J., & Osterrieder, J. (2017). A statistical analysis of cryptocurrencies. Journal of Risk and Financial Management, 10(2), 12. [213+ citations]

  • MSCA DIGITAL Network - EUR 4.5M Industrial Doctoral Network on Digital Finance
  • COST Action CA19130 - FinAI: Fintech and AI in Finance

Resources

Contact

Prof. Dr. Joerg Osterrieder Bern University of Applied Sciences Email: joerg.osterrieder@bfh.ch

Prof. Dr. Stephen Chan American University of Sharjah Email: schan@aus.edu

Acknowledgements

This project is funded by the Swiss National Science Foundation (SNF) under the Scientific Exchanges programme (Grant No. IZSEZ0_211195).

The MSCA DIGITAL network has received funding from the Horizon Europe research and innovation programme under the Marie Sklodowska-Curie Grant Agreement No. 101119635.

License

This work is licensed under a Creative Commons Attribution 4.0 International License.