Automated detection of network anomalies and generation of optimized anomaly-alleviating incentives
US11956138B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 26, 2023 |
| Grant date | Apr 9, 2024 |
| Priority date | — |
| Expiry date | Apr 26, 2043 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L41/147
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
An embodiment establishes a knowledge base based at least in part on sensor data received from a network. The embodiment generates a predicted performance parameter for a designated entity of the network using a first machine learning algorithm. The embodiment compares the predicted performance parameter to an actual performance parameter and determines whether the actual performance parameter exceeds a threshold difference from the predicted performance parameter. The embodiment generates, responsive to determining that the threshold difference is exceeded, incentive data using a second machine learning algorithm, where the incentive data is representative of an action selected by the second machine learning algorithm using an iterative optimization process, and where the iterative optimization process comprises performing the action and determining that the actual performance parameter approaches the threshold value in response to the action.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.