Topographic Attribute Maps (TAM) for Visualizing Blockchain Transaction Anomalies
Ethereum Engineering Group via YouTube
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Learn how to analyze and visualize fraudulent blockchain transactions using Topographic Attribute Maps (TAM) in this 40-minute talk by Awarjana Perera. Discover research-based techniques for identifying transaction anomalies on the blockchain through advanced visualization methods. Access the complete presentation slides to follow along with the detailed methodology and findings presented by Perera during her Ethereum Engineering Group session. Gain insights into how TAM can be applied to detect suspicious patterns and enhance blockchain security through visual analysis.
Syllabus
Topographic Attribute Maps(TAM) for visualising blockchain transaction anomalies
Taught by
Ethereum Engineering Group