Correlated risk in cybersecurity
US10594723B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 5, 2019 |
| Grant date | Mar 17, 2020 |
| Priority date | — |
| Expiry date | Mar 5, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2221/034
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Computer-implemented methods are provided herein for quantifying correlated risk in a network of a plurality of assets having at least one dependency, where each asset belongs to at least one entity. The method includes generating a dependency graph based on relationships between the assets, at least one dependency, and at least one entity, and executing a plurality of Monte Carlo simulations over the dependency graph. Executing a plurality of Monte Carlo simulations includes generating a seed event in the dependency graph, where the seed event has a probability distribution, and propagating disruption through the dependency graph based on the seed event. The method further includes assessing loss for each of the assets, and aggregating losses for two or more assets to determine correlated risk in the network.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.