CMPE-257-MachineLearning-Project

1. Project Statement: We want to use machine learning for anomaly detection in blockchain. Training a model to identify unusual behavior in the network and detect potential security threats or fraudulent activities in near real-time. This enhances the security and stability of the blockchain network and makes the process of monitoring and securing it more efficient.

2. Dataset: https://github.com/blockchain-etl/bitcoin-etl

https://ieee-dataport.org/open-access/bitcoin-hacked-transactions-2010-2013

3. Article: https://www.sciencedirect.com/science/article/pii/S2665917422001374