AI-driven defensive cybersecurity strategy analysis and recommendation system
US11184401B2 · kind B2 · utility
4Cited by
13References
16Claims
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Key dates
| Filing date | Feb 17, 2020 |
| Grant date | Nov 23, 2021 |
| Priority date | — |
| Expiry date | Apr 21, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L63/1441
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
A system and method for automated cybersecurity defensive strategy analysis that predicts the evolution of new cybersecurity attack strategies and makes recommendations for cybersecurity improvements to networked systems based on a cost/benefit analysis. The system and method use machine learning algorithms to run simulated attack and defense strategies against a model of the networked system created using a directed graph. Recommendations are generated based on an analysis of the simulation results against a variety of cost/benefit indicators.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.