Forecasting and classifying cyber-attacks using neural embeddings based on pattern of life data
US9998491B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 16, 2017 |
| Grant date | Jun 12, 2018 |
| Priority date | — |
| Expiry date | Nov 16, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A first collection including a pattern of life (POL) feature vector and a Q&A feature vector is constructed. A second collection is constructed from the first collection by inserting noise in at least one of the vectors. A third collection is constructed by combining a vector of the second collection with a corresponding vector of a different collection. Using a forecasting configuration, a POL feature vector of the third collection is aged to generate a changed POL feature vector containing POL feature values expected at a future time. The changed POL feature vector is input into a trained neural network to predict a probability of the cyber-attack occurring at the future time.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.