System and method for detecting and identifying a cyber-attack on a network
US10931706B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 10, 2020 |
| Grant date | Feb 23, 2021 |
| Priority date | — |
| Expiry date | Mar 10, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L63/1441
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
A method for detecting and/or identifying a cyber-attack on a network can include segmenting the network using a segmentation method with machine learning to generate one or more network segments; assigning a score to a data point within each network segment based on a presence or absence of an identified anomalous behavior of the data point; analyzing network data flow, via behavioral modeling, to provide a context for characterizing the anomalous behavior; combining, via a reinforcement learning agent, outputs of the segmentation method with behavioral modelling and assigned score to detect and/or identify a cyber-attack; providing one or more alerts to an analyst; receiving an analyst assessment of an effectiveness of the detection and/or identification; and providing the analyst assessment as feedback to the reinforcement learning agent.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.