Systems and methods for determining network data quality and identifying anomalous network behavior
US11115428B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 21, 2019 |
| Grant date | Sep 7, 2021 |
| Priority date | — |
| Expiry date | Mar 27, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L63/1425
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
A device receives network data and artificial packets associated with a network, and processes the network data to generate sequential sets of the network data. The device processes the sequential sets of the network data, with a time series model, to generate time series network data, and determines whether the time series network data satisfies a quality threshold. The device transforms, when the time series network data satisfies the quality threshold, residual data in the time series network data to identify data outliers, and removes the data outliers to generate modified time series network data. The device processes the modified time series network data, with a model, to generate a forecast data point, and compares the forecast data point and an actual data point to determine whether an anomaly exists in the network. The device performs one or more actions based on determining whether the anomaly exists in the network.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.