Assigning and representing security risks on a computer network
US10673886B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 26, 2019 |
| Grant date | Jun 2, 2020 |
| Priority date | — |
| Expiry date | Sep 26, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and systems for visualizing, analyzing, archiving and securing computer and internet of things (IoT) data networks are disclosed. The system includes a data collection device (sensor), preprocessing unit, analysis unit containing at least the Koopman mode analysis unit, and a postprocessing unit. The methods include Koopman mode analysis, support vector machines or deep learning used to compute the baseline, detect and rank known and unknown threats to the system, visualize and archive them. The methods also include creating and representing an Artificial Intelligence (AI) determined risk level indicators; using combined intel and notice alert severities with the AI risk level indicators to rank the alerts; using the AI indicators to create zero day risks; an AI Button to show the AI indicators and ranked alerts on a computer screen; and graphic user interfaces (GUI) to intuitively represent and interact with the AI indicators and ranked alerts.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.