Imagine a shield against hidden dangers in cryptocurrency transactions

Project Leader: Dr MD REDOWAN MAHMUD - Dr Sajib Mistry in association with A/Prof Aneesh Krishna and Dr Mahbuba Afrin

This #SaturdayScience, let’s explore a new tool: machine learning on a knowledge graph to detect fraud in Ethereum.

Partner Institution: Curtin University System: Setonix Areas of science: N/A

Here’s the magic:

Knowledge Graph: The researchers built a graph representing relationships between addresses, transactions, and smart contracts on the Ethereum blockchain.  Machine Learning on the Graph: They then used a machine learning technique called “collaborative filtering” to identify potential victims based on similarities with past targets.  Early Detection: This approach allows for early detection and prevention of fraudulent activities, protecting users and their funds.

This research paves the way for a more secure future for cryptocurrency transactions. By harnessing the power of Pawsey supercomputer, Machine Learning (ML), and graph technology, a safer environment for users can be created.

Want to learn more? Check out the full paper https://bit.ly/3S0sGKf

Dr MD REDOWAN MAHMUD - Dr Sajib Mistry in association with A/Prof Aneesh Krishna and Dr Mahbuba Afrin,
Project Leader.

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