Device and network classification based on probabilistic model
US11115429B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 29, 2017 |
| Grant date | Sep 7, 2021 |
| Priority date | — |
| Expiry date | Feb 26, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L41/142
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Programmatic mechanisms that enable the automatic assignment of categories to network entities based on observed evidence. Agents gather observation data that identifies observations made by agents about the network and a plurality of nodes of the network. The agents provide the observation data to a classification module, which assigns a device category to the nodes of the network based on the observation data and a probabilistic node model. The probabilistic node model considers several probabilities to ascertain a recommended device category for a particular node, such as probabilities based on a manufacturer of a node, an operating system executing on a node, information about other nodes in the local vicinity of a node, and an administrator web page associated with a node. The classification module may also assign a particular network category to the network based on the observation data and a probabilistic network model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.