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公开(公告)号：US12088613B2
公开(公告)日：2024-09-10
申请号：US18303807
申请日：2023-04-20
Applicant: Snap Inc.
Inventor： Neil Shah , Mingyi Zhao , Yu-Hsin Chen
CPC classification number: H04L63/1425 , G06N20/00 , H04L63/083 , H04L63/1433
Abstract: Systems and methods are disclosed for automatically predicting a risk score of a user login attempt by receiving a user login attempt and generating a login feature vector associated with the user login attempt. The systems and methods further train a machine learning technique to establish a relationship between the login feature vector and the risk score. The trained machine learning technique is applied to new user login attempts to predict a risk score associated with the login attempt and issue an authentication challenge to the user if the risk score exceeds a predetermined threshold value.
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公开(公告)号：US11641368B1
公开(公告)日：2023-05-02
申请号：US16450463
申请日：2019-06-24
Applicant: Snap Inc.
Inventor： Neil Shah , Mingyi Zhao , Yu-Hsin Chen
Abstract: Systems and methods are disclosed for automatically predicting a risk score of a user login attempt by receiving a user login attempt and generating a login feature vector associated with the user login attempt. The systems and methods further train a machine learning technique to establish a relationship between the login feature vector and the risk score. The trained machine learning technique is applied to new user login attempts to predict a risk score associated with the login attempt and issue an authentication challenge to the user if the risk score exceeds a predetermined threshold value.
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公开(公告)号：US20230262082A1
公开(公告)日：2023-08-17
申请号：US18303807
申请日：2023-04-20
Applicant: Snap Inc.
Inventor： Neil Shah , Mingyi Zhao , Yu-Hsin Chen
CPC classification number: H04L63/1425 , G06N20/00 , H04L63/083 , H04L63/1433
Abstract: Systems and methods are disclosed for automatically predicting a risk score of a user login attempt by receiving a user login attempt and generating a login feature vector associated with the user login attempt. The systems and methods further train a machine learning technique to establish a relationship between the login feature vector and the risk score. The trained machine learning technique is applied to new user login attempts to predict a risk score associated with the login attempt and issue an authentication challenge to the user if the risk score exceeds a predetermined threshold value.
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