Automated machine learning scheme for software exploit prediction
US10264009B2 · kind B2 · utility
4Cited by
2References
18Claims
0Family size
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Key dates
| Filing date | Jul 26, 2016 |
| Grant date | Apr 16, 2019 |
| Priority date | — |
| Expiry date | Apr 19, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A predictive engine for analyzing existing vulnerability information to determine the likelihood of a vulnerability being exploited by malicious actors against a particular computer or network of computers. The predictive engine relies on multiple data sources providing historical vulnerability information, a plurality of predictive models, and periodic retraining of the prediction ensemble utilizing predictive models. Modeling schemes may also be used when retraining the predictive models forming the prediction ensemble.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.