Computer user authentication using machine learning
US11893096B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 2, 2021 |
| Grant date | Feb 6, 2024 |
| Priority date | — |
| Expiry date | Dec 2, 2041 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L63/102
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Systems and methods are described herein for computer user authentication using machine learning. Authentication for a user is initiated based on an identification confidence score of the user. The identification confidence score is based on one or more characteristics of the user. Using a machine learning model for the user, user activity of the user is monitored for anomalous activity to generate first data. Based on the monitoring, differences between the first data and historical utilization data for the user determine whether the user's utilization of the one or more resources is anomalous. When the user's utilization of the one or more resource is anomalous, the user's access to the one or more resource is removed.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.