Multi-Modal Fraud Detection in Digital Transactions

Key Points

• The central aim is to assess how well different fraud detection methods work in preventing fraud in digital transactions.
• Evaluated various fraud detection techniques
• Analyzed digital transaction data
• Implemented multi-modal approaches for detection
• Demonstrated improved fraud detection accuracy with multi-modal methods
• Identified key indicators of fraudulent transactions
• Showed a reduction in false positives compared to traditional methods

Abstract