Forecasting and classifying cyber-attacks using analytical data based neural embeddings
US9948666B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 9, 2016 |
| Grant date | Apr 17, 2018 |
| Priority date | — |
| Expiry date | Jun 6, 2036 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L63/1408
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
A first collection including an analytical 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 crossing over at least one of vectors of the second collection with a corresponding vector of a fourth collection, migrating at least one of the vectors of the second collection with a corresponding vector of a fifth collection. Using a forecasting configuration, an analytical feature vector of the third collection is aged to generate a changed analytical feature vector containing analytical feature values expected at a future time. The changed analytical 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.