Intrusion detection using robust singular value decomposition
US11108795B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 25, 2018 |
| Grant date | Aug 31, 2021 |
| Priority date | — |
| Expiry date | Feb 18, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L63/1416
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
A method for detecting anomalous streaming network traffic data in real time includes: creating an anomaly detection model including a singular value matrix and a data pattern matrix from a matrix of historical network traffic data; storing the singular value matrix and the data pattern matrix of the anomaly detection model; receiving streaming network traffic data; performing a log transform on the streaming network traffic data; applying the anomaly detection model to a matrix of the streaming network traffic data in real time as the streaming network traffic data is received; detecting anomalous patterns in the streaming network traffic data based on patterns identified by the anomaly detection model; and associating the anomalous patterns in the streaming network traffic data with IP addresses.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.