Modifying network relationships using a heterogenous network flows graph
US11765179B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 22, 2022 |
| Grant date | Sep 19, 2023 |
| Priority date | — |
| Expiry date | Mar 27, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods are described for recommending security groups using graph-based learning models. A server can create a network graph that illustrates network flows between devices in a network and security groups that the devices belong to. The network graph can include nodes that represent the devices and security groups. The server can apply a graph-based learning model to learn embeddings of the nodes and create vectors using the embeddings. Using vectors of two nodes, the server can calculate a vector that represents an edge between the two nodes. The server can apply a binary classifier determine whether the edge should exist. A “true” classification between two nodes can indicate that they should be able to communicate, and vice versa. A “true” classification between a device node and a security group node can indicate that the device should be assigned to the security group, and vice versa.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.