Invention Grant
- Patent Title: Machine learning powered authentication challenges
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Application No.: US16450463Application Date: 2019-06-24
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Publication No.: US11641368B1Publication Date: 2023-05-02
- Inventor: Neil Shah , Mingyi Zhao , Yu-Hsin Chen
- Applicant: Snap Inc.
- Applicant Address: US CA Santa Monica
- Assignee: Snap Inc.
- Current Assignee: Snap Inc.
- Current Assignee Address: US CA Santa Monica
- Agency: Schwegman Lundberg & Woessner, P.A.
- Main IPC: H04L29/06
- IPC: H04L29/06 ; G06N20/00 ; H04L9/40

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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