Methods and systems for behavioral analysis of mobile device behaviors based on user persona information
US9703962B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 9, 2014 |
| Grant date | Jul 11, 2017 |
| Priority date | — |
| Expiry date | Dec 24, 2034 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04W12/68
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computing device processor may be configured with processor-executable instructions to implement methods of using behavioral analysis and machine learning techniques to identify, prevent, correct, or otherwise respond to malicious or performance-degrading behaviors of the computing device. As part of these operations, the processor may generate user-persona information that characterizes the user based on that user's activities, preferences, age, occupation, habits, moods, emotional states, personality, device usage patterns, etc. The processor may use the user-persona information to dynamically determine the number of device features that are monitored or evaluated in the computing device, to identify the device features that are most relevant to determining whether the device behavior is not consistent with a pattern of ordinary usage of the computing device by the user, and to better identify or respond to non-benign behaviors of the computing device.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.