Detecting Fraudulent Wallets in Ethereum Blockchain Combining Supervised and Unsupervised Techniques: Using Autoencoders and XGboost

Joao Crisostomo, Victor Lobo, Fernando Bacao

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Fingerprint

Dive into the research topics of 'Detecting Fraudulent Wallets in Ethereum Blockchain Combining Supervised and Unsupervised Techniques: Using Autoencoders and XGboost'. Together they form a unique fingerprint.

Engineering & Materials Science