Intrusion management with threat type clustering
US11770409B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 4, 2021 |
| Grant date | Sep 26, 2023 |
| Priority date | — |
| Expiry date | Nov 19, 2041 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L63/1466
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer-implemented method, computer system, and computer program product for threat management. A set of features used by a machine learning model is collected by the computer system to determine a threat type for an access attempt when the access attempt is detected. A cluster is determined, by the machine learning model in the computer system, for the access attempt using the set of features, wherein the machine learning model implements clustering to determine the cluster for the access attempt, and wherein the cluster for the access attempt corresponds to the threat type for the access attempt. A set of actions is performed by the machine learning model in the computer system based on the threat type determined for the access attempt.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.