Determining malware infection risk
US10164995B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 14, 2015 |
| Grant date | Dec 25, 2018 |
| Priority date | — |
| Expiry date | Aug 17, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F21/577
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for performing semi-supervised learning on partially labeled nodes on a bipartite graph. One described method can determine a useful score of malware infection risk from partial known facts for entities modeled as nodes on a bipartite graph, where network traffic is measured between inside-the-enterprise entities and outside-the-enterprise entities. This and other methods can be implemented in a large-scale massively parallel processing database. Methods of scaling the partial label input and of presenting the results are also described.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.