Resource access policy enforcement using a hypergraph
US11184402B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 25, 2020 |
| Grant date | Nov 23, 2021 |
| Priority date | — |
| Expiry date | Jul 10, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L47/627
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method trains a neural network to recognize whether a resource is authorized to be returned to a requester. One or more processors train a neural network to traverse a policy enforcement hypergraph in order to identify a security policy to be used for a resource request and to authorize a use of a requested resource by a requester. The policy enforcement hypergraph is derived from a policy enforcement graph that expresses a set of security profiles for resources and requesters. The processor(s) receive a resource request for a requested resource from a requester, where the resource request includes a description of the requester. A system/user inputs a description of the received resource request and a description of the policy enforcement hypergraph into the trained neural network in order to selectively return the requested resource to the requester.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.