Graph-Based Anomaly Propagation Analysis in Point-of-Sale Networks: AI-Enhanced Fraud Detection in Retail Transaction Ecosystems
Keywords:
graph-based anomaly propagation analysis, point-of-sale networks, ai-enhanced fraud detection, retail transaction ecosystems, machine learningAbstract
The advent of digital transformation has ushered in an era of hyper-connected consumers, allowing for seamless transactions across multiple platforms. However, this rapid migration online has provided new opportunities for fraud, resulting in a 33% increase in fraudulent activities over the years since 2016. We chose retail transactions as our focus, as reports indicate that losses incurred in the retail industry doubled from 2019 onwards due to the pandemic and migratory fraud.Downloads
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