TSAI-MetaFraud: A Benchmark Dataset for Financial Fraud Transaction and Behavioral Risk Detection in Metaverse Ecosystems
The emergence of metaverse platforms has created virtual economies that introduce new challenges related to fraud, bot activity, and illicit financial behavior. Despite growing interest in trustworthy metaverse analytics, existing datasets typically focus on user behavior, authentication, or financial transactions in isolation, limiting the development and reproducible evaluation of multimodal fraud detection methods. To address this gap, we present TSAI-MetaFraud, a multimodal, multi-task benchmark dataset for fraud analytics in virtual economies. TSAI-MetaFraud integrates behavioral, transac
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- PossiblePossibly related (embedding) · 58%SantanderAI/gen-fraud-graph →
- PossiblePossibly related (embedding) · 56%Teboho66/SentinelPay →
- PossiblePossibly related (embedding) · 51%nicolbl95/MultiAgent-Financial-Analyzer →
- PossiblePossibly related (embedding) · 51%AI gold trading bots and the data revolution: How machine learning is transforming XAUUSD automation in 2026 - Dataconomy →
- PossiblePossibly related (embedding) · 48%hoangsonww/Spot-the-Scam-AI-Job-Fraud →
- LinkedLinked via arxiv author · 85%Refat Ishrak Hemel →
“TSAI-MetaFraud: A Benchmark Dataset for Financial Fraud Transaction and Behavioral Risk Detection in Metaverse Ecosystem”
- LinkedLinked via arxiv author · 85%Ehsan Hallaji →
“TSAI-MetaFraud: A Benchmark Dataset for Financial Fraud Transaction and Behavioral Risk Detection in Metaverse Ecosystem”
- LinkedLinked via arxiv author · 85%Roozbeh Razavi-Far →
“TSAI-MetaFraud: A Benchmark Dataset for Financial Fraud Transaction and Behavioral Risk Detection in Metaverse Ecosystem”