eltontay/Ethereum-Fraud-Detection
Detecting Fraudulent Blockchain Accounts on Ethereum with Supervised Machine Learning
This project helps cryptocurrency exchanges and wallet providers identify fraudulent Ethereum accounts to protect users' assets. It takes existing Ethereum account data, including transaction history and aggregated statistics, and uses machine learning to output a prediction of whether an account is fraudulent. This tool is for risk managers and security teams at crypto exchanges or wallet services.
No commits in the last 6 months.
Use this if you need to enhance your platform's ability to detect and prevent cryptocurrency scams on the Ethereum blockchain.
Not ideal if you are looking to detect fraud on other blockchains besides Ethereum, or if you don't have access to detailed Ethereum account and transaction data.
Stars
38
Forks
13
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Nov 18, 2022
Commits (30d)
0
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