TSAI-MetaFraud: A Benchmark Dataset for Financial Fraud Transaction and Behavioral Risk Detection in Metaverse Ecosystems
2026-07-10 • Machine Learning
Machine LearningCryptography and SecurityDatabasesSocial and Information Networks
AI summaryⓘ
The authors created TSAI-MetaFraud, a new dataset designed to help detect fraud in metaverse virtual economies. Unlike previous datasets that only looked at one type of data, their dataset combines user behavior, financial transactions, and network connections to better mimic real-world scenarios with fraud and bots. They also set up several tasks to test fraud detection methods and provide baseline machine learning results. This work helps improve tools for spotting dishonest activities in virtual worlds.
metaversevirtual economyfraud detectionmultimodal datagraph neural networkstransaction fraudbot detectionnode classificationlink predictionweak supervision
Authors
Refat Ishrak Hemel, Ehsan Hallaji, Roozbeh Razavi-Far
Abstract
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, transactional, and graph-structured information while incorporating realistic fraud and automated bot scenarios. We define benchmark tasks including transaction fraud detection, cross-modal node classification, temporal link prediction, and weakly supervised fraud detection, and provide baseline evaluations using machine learning models and graph neural networks. By jointly capturing behavioral activity, financial interactions, and relational structure within a unified virtual economy, TSAI-MetaFraud provides a benchmark for advancing multimodal learning, graph mining, fraud analytics, and trustworthy AI in emerging metaverse ecosystems.