- 专利标题： Detecting fraud using machine-learning
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申请号： US16732031申请日： 2019-12-31
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公开(公告)号： US11488177B2公开(公告)日： 2022-11-01
- 发明人: Yuan Deng , Yanfei Dong
- 申请人： PayPal, Inc.
- 申请人地址： US CA San Jose
- 专利权人： PayPal, Inc.
- 当前专利权人： PayPal, Inc.
- 当前专利权人地址： US CA San Jose
- 代理机构： Kowert, Hood, Munyon, Rankin & Goetzel, P.C.
- 代理商 Catherine L. Gerhardt; Dean M. Munyon
- 主分类号： G06Q40/02
- IPC分类号： G06Q40/02 ; G06Q30/00 ; G06N20/00 ; G06N5/04 ; H04L9/40
摘要：
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.
公开/授权文献
- US20200349586A1 DETECTING FRAUD USING MACHINE-LEARNING 公开/授权日：2020-11-05
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