On-line behavioral analysis engine in mobile device with multiple analyzer model providers
US9747440B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 9, 2013 |
| Grant date | Aug 29, 2017 |
| Priority date | — |
| Expiry date | Jul 9, 2033 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2201/865
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems and devices for generating data models in a client-cloud communication system may include applying machine learning techniques to generate a first family of classifier models that describe a cloud corpus of behavior vectors. Such vectors may be analyzed to identify factors in the first family of classifier models that have the highest probability of enabling a mobile device to better determine whether a mobile device behavior is malicious or benign. Based on this analysis, a second family of classifier models may be generated that identify significantly fewer factors and data points as being relevant for enabling the mobile device to better determine whether the mobile device behavior is malicious or benign based on the determined factors. A mobile device classifier module based on the second family of classifier models may be generated and made available for download by mobile devices, including devices contributing behavior vectors.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.