Methods and systems for using causal analysis for boosted decision stumps to identify and respond to non-benign behaviors
US9578049B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 7, 2015 |
| Grant date | Feb 21, 2017 |
| Priority date | — |
| Expiry date | May 25, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F21/566
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
A computing device processor may be configured with processor-executable instructions to implement methods of detecting and responding non-benign behaviors of the computing device. The processor may be configured to monitor device behaviors to collect behavior information, generate a behavior vector information structure based on the collected behavior information, apply the behavior vector information structure to a classifier model to generate analysis results, use the analysis results to classify a behavior of the device, use the analysis results to determine the features evaluated by the classifier model that contributed most to the classification of the behavior, and select the top “n” (e.g., 3) features that contributed most to the classification of the behavior. The computing device may display the selected features on an electronic display of the computing device.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.