Invention Grant
- Patent Title: Detecting fraud using machine-learning
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Application No.: US16732031Application Date: 2019-12-31
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Publication No.: US11488177B2Publication Date: 2022-11-01
- Inventor: Yuan Deng , Yanfei Dong
- Applicant: PayPal, Inc.
- Applicant Address: US CA San Jose
- Assignee: PayPal, Inc.
- Current Assignee: PayPal, Inc.
- Current Assignee Address: US CA San Jose
- Agency: Kowert, Hood, Munyon, Rankin & Goetzel, P.C.
- Agent Catherine L. Gerhardt; Dean M. Munyon
- Main IPC: G06Q40/02
- IPC: G06Q40/02 ; G06Q30/00 ; G06N20/00 ; G06N5/04 ; H04L9/40

Abstract:
A fraud detection model is used by a computer system to evaluate whether to grant a request to access a secure electronic resource. Before granting the request, the computer system evaluates the request using a multi-partite graph model generated using a plurality of previous requests. The multi-partite graph model includes at least a first set of nodes for sender accounts, a second set of nodes for recipient accounts, and a third set of nodes.
Public/Granted literature
- US20200349586A1 DETECTING FRAUD USING MACHINE-LEARNING Public/Granted day:2020-11-05
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