Real-Time Behavioural Anomaly Detection in Digital Payments: A Supervised Learning Framework for Financial Transaction Fraud Identification
Keywords:
real-time behavioural anomaly detection, digital payments, supervised learning framework, financial transaction fraud identification, machine learningAbstract
Today's business environments primarily depend on electronic transactions, thereby increasing the urgency of a more powerful fraud detection regime. Research reveals some shocking facts regarding this evil trend. International markets frequently encounter several types of fraud and monetary losses, affecting financial institutions, businesses, and other societies. Most organizations suffer from damaging charges, data, and reputation.Downloads
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