Classifying a source of a login attempt to a user account using machine learning
US12120126B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 31, 2022 |
| Grant date | Oct 15, 2024 |
| Priority date | — |
| Expiry date | Feb 7, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A source of a login attempt to a user account can be classified using machine learning. For example, a computing system can input user activity observations associated with one or more login attempts to one or more user accounts into a trained machine learning model. One or more distinguishing factors for the one or more login attempts can be received from the trained machine learning model. The computing system can determine a source of a current login attempt by applying a clustering algorithm to current values of the one or more distinguishing factors. The current values may be derived from current user activity observations associated with the current login attempt. The computing system can determine an authentication level for the current login attempt to the user account based on the source of the current login attempt.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.