- 专利标题: System and methods for dynamic digital threat mitigation
-
申请号: US16138311申请日: 2018-09-21
-
公开(公告)号: US10296912B2公开(公告)日: 2019-05-21
- 发明人: Fred Sadaghiani , Alex Paino , Jacob Burnim , Keren Gu , Gary Lee , Noah Grant , Eugenia Ho , Doug Beeferman
- 申请人: Sift Science, Inc.
- 申请人地址: US CA San Francisco
- 专利权人: Sift Science, Inc.
- 当前专利权人: Sift Science, Inc.
- 当前专利权人地址: US CA San Francisco
- 代理商 Jeffrey Schox; Padowithz Alce
- 主分类号: H04L29/06
- IPC分类号: H04L29/06 ; G06Q20/40 ; G06N20/00 ; G06F16/28 ; G06F21/50
摘要:
Systems and methods include: implementing a first machine learning model to generate an output of a global digital threat score for an online activity based on an input of the collected digital event data; implementing a second machine learning model that generates a category inference of a category of digital fraud or a category of digital abuse from a plurality of digital fraud or digital abuse categories; selecting a third machine learning model from an ensemble of digital fraud or digital abuse machine learning models based on the category inference generated by the second machine learning model, wherein the ensemble of digital fraud or digital abuse machine learning models comprise a plurality of disparate digital fraud or digital abuse category-specific machine learning models; and implementing the selected third machine learning model to generate a digital fraud or digital abuse category-specific threat score based on the digital event data.
公开/授权文献
- US20190034932A1 SYSTEM AND METHODS FOR DYNAMIC DIGITAL THREAT MITIGATION 公开/授权日:2019-01-31
信息查询