Using machine-learning models to determine graduated levels of access to secured data for remote devices
US12158963B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 5, 2023 |
| Grant date | Dec 3, 2024 |
| Priority date | — |
| Expiry date | Oct 5, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2221/2113
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Aspects of the disclosure relate to using machine-learning models to determine graduated levels of access to secured data for remote devices. In some embodiments, a computing platform may establish a connection with a mobile device. Subsequently, based on establishing the connection, the platform may identify initial device information, device features, and user information. The platform may input the identified information into an authentication model to compute a baseline authentication score and then may identify an initial level of access to secured resources for the mobile device. Thereafter, the platform may receive from the mobile device, AR/VR device information captured by the mobile device. The platform may input the AR/VR device information into the authentication model to compute an augmented authentication score. Based on the augmented score, the platform may identify an augmented level of access to secured resources for the mobile device.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.