Machine learning system for computing asset access
US10606990B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 6, 2017 |
| Grant date | Mar 31, 2020 |
| Priority date | — |
| Expiry date | Jan 29, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2221/2141
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In various example embodiments, a method for controlling computing asset access using machine learning is presented. In an example embodiment, access data for each user of a plurality of users are accessed, wherein the access data for a user indicate an access history by that user to one or more available assets. Using a machine learning algorithm, the access data of each user are analyzed to generate a characteristic associated with the access data of each user. An indication of a current access attempt of one of the assets is received using an identity of a first user. A characteristic associated with the current access attempt is compared to the characteristic associated with the access data of the first user. Based on the comparison, an authentication process is selected for presentation to the first user for the current access attempt.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.