Using classification data as training set for auto-classification of admin rights
US10679141B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 29, 2015 |
| Grant date | Jun 9, 2020 |
| Priority date | — |
| Expiry date | Sep 19, 2037 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L63/102
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An identity and access management IAM system is augmented to provide for supervised, iterative machine learning (ML), preferably with a user-generated training set for classification. The training set may include various types of data, including characteristics or attributes of the account types, the users, or the like. A goal of the initial ML training, which may include one or multiple passes, is to enable the machine to identify specific characteristics or attributes that provide a good classification result, with the resulting classifications then applied within the IAM system. In particular, the output of the ML system may be used by the IAM system for enforcing rights associated with the identified accounts, managing accounts, and so forth.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.