Invention Grant
- Patent Title: Machine learning powered authentication challenges
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Application No.: US18303807Application Date: 2023-04-20
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Publication No.: US12088613B2Publication Date: 2024-09-10
- 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: H04L9/40
- IPC: H04L9/40 ; G06N20/00

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.
Public/Granted literature
- US20230262082A1 MACHINE LEARNING POWERED AUTHENTICATION CHALLENGES Public/Granted day:2023-08-17
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