Paypal, Inc.

Serafin Trujillo

Yuzhen Zhuo

Quan Jin Ferdinand Tang

Hewen Wang

Zhe Chen

Mandar Ganaba Gaonkar

Omkumar Mahalingam

Shanshan Peng

Kenneth Bradley Snyder

Solomon Kok How Teo

Systems and methods for user-agent anomaly detection are disclosed. In one embodiment, a user-agent string may be embedded into a numerical data vector representation using a sentence embedding algorithm (e.g., FastText). A predictive score may be calculated based on the numerical data vector representation and using a probability distribution function model that models a likelihood of occurrence of the observed user-agent based on patterns learned from historic payload data (e.g., a Gaussian Mixture Model). The predictive score may be compared to a threshold and, based on the comparison, it may be determined whether the user-agent is fraudulent.

User-agent anomaly detection using sentence embedding

Growing community of inventors

Singapore, Singapore

Serafin Trujillo