payment fraud | BestHub

DataFunTalk

Jul 15, 2021 · Artificial Intelligence

Graph Neural Network‑Based Payment Fraud Detection at eBay

The article explains how eBay protects its global payment system using a graph‑neural‑network driven risk management framework called xFraud, which combines heterogeneous graph sampling, node‑type encoding, attention mechanisms and dynamic‑graph extensions to detect and explain both individual and organized fraud patterns in real‑time.

Graph Neural NetworkseBaymachine learning

0 likes · 13 min read

Graph Neural Network‑Based Payment Fraud Detection at eBay

Top Architect

Nov 6, 2020 · Information Security

Security Analysis of the “Le Bao” Fake WeChat App Used for Pornographic Promotion

The report investigates the malicious “Le Bao” application that mimics WeChat, detailing its hidden QR‑code group‑joining mechanism, server‑side communication, payment and gambling integration, and the broader illicit promotion and profit model, while providing forensic traces, source‑code decoding, and mitigation recommendations.

Mobile Securityapp spoofinginformation security

0 likes · 13 min read

Security Analysis of the “Le Bao” Fake WeChat App Used for Pornographic Promotion

DataFunTalk

Jun 22, 2020 · Artificial Intelligence

Ctrip's Automated Iterative Anti‑Fraud Modeling Framework for Payment Risk

The article describes Ctrip's payment fraud risk characteristics, a comprehensive automated iterative anti‑fraud model framework—including variable system, GAN‑augmented sample generation, RNN behavior encoding, and tree‑based classifiers—and demonstrates how this approach restores recall performance compared with traditional static models.

GANRNNanti-fraud

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Ctrip's Automated Iterative Anti‑Fraud Modeling Framework for Payment Risk